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Search results β€œMachine learning in computer games”
MarI/O - Machine Learning for Video Games
 
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MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: http://pastebin.com/ZZmSNaHX "NEAT" Paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Some relevant Wikipedia links: https://en.wikipedia.org/wiki/Neuroevolution https://en.wikipedia.org/wiki/Evolutionary_algorithm https://en.wikipedia.org/wiki/Artificial_neural_network BizHawk Emulator: http://tasvideos.org/BizHawk.html SethBling Twitter: http://twitter.com/sethbling SethBling Twitch: http://twitch.tv/sethbling SethBling Facebook: http://facebook.com/sethbling SethBling Website: http://sethbling.com SethBling Shirts: http://sethbling.spreadshirt.com Suggest Ideas: http://reddit.com/r/SethBlingSuggestions Music at the end is Cipher by Kevin MacLeod
Views: 7365099 SethBling
AI learns to play snake using Genetic Algorithm and Deep learning
 
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Using a neural network and the genetic algorithm I trained an AI to play snake. Time Passing By by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/
Views: 1931212 Code Bullet
πŸ–₯️ WRITING MY FIRST MACHINE LEARNING GAME! (1/4)
 
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Never thought this day would come where I was writing my own Machine Learning Neural Network Projects... prepare to have SOME FUN! PATREON: https://www.patreon.com/Jabrils SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science Table Of Contents ----- 0:00 - Intro 0:10 - My AI Story 1:58 - Starting point 2:16 - Introducing Forrest 2:35 - Discovering Forrest's Problem 3:20 - How the joystick works 3:59 - Exploring our A.I. options 4:47 - Monster Boss Battle Course 4:53 - Recap on whats going on 5:40 - Setting up our inputs 6:30 - Our Neural Network structure & how it works 8:11 - Inputting our Neural Network into Forrest 8:56 - Conclusion Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb Music ----- Coming soon REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #gamedev
Views: 689855 Jabrils
AI Learns to play the Worlds Hardest Game
 
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If it wins does that make it the worlds best AI? NEXT LEVEL: https://www.youtube.com/watch?v=kVwkLb8zxq0&t=1s Run the AI in your browser https://code-bullet.github.io/WorldsHardestGameAI/WHG/ Check out my tutorial on genetic algorithm https://www.youtube.com/watch?v=BOZfhUcNiqk&t=2s Follow me on twitter https://twitter.com/code_bullet Become a patreon to support my future content https://www.patreon.com/CodeBullet Check out my Discord server https://discord.gg/UZDMYx5
Views: 3430679 Code Bullet
Artificial intelligence, video games and the mysteries of the mind | Raia Hadsell | TEDxExeterSalon
 
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Artificial intelligence could be the powerful tool we need to solve some of the biggest problems facing our world, argues Raia Hadsell. In this talk, she offers an insight into how she and her colleagues are developing robots with the capacity to learn. Their superhuman ability to play video games is just the start. Raia is a senior research scientist on the Deep Learning team at DeepMind, with a particular focus on solving robotics and navigation using deep neural networks. --- TEDxExeterSalon: From driverless cars to diagnosis of medical imaging, artificial intelligence is being heralded as the next industrial revolution. But how does AI relate to us in all our glorious complex humanity? Our first TEDxExeterSalon explored the ways in which we’ll interact with algorithmic intelligence in the near future. TEDxExeter: Now in our 7th year, TEDxExeter is Exeter’s Ideas Festival with global reach, licensed by TED and organised by volunteers who are passionate about spreading great ideas in our community. More information: http://www.tedxexeter.com Production: http://www.youtube.com/familygamertv Filming: http://firstsightmedia.co.uk/ Raia Hadsell is a research scientist on the Deep Learning team at DeepMind. She moved to London to join DeepMind in early 2014, feeling that her fundamental research interests in robotics, neural networks, and real world learning systems were well-aligned with the agenda of Demis, Shane, Koray, and other members of the original team. Raia’s research at DeepMind focuses on a number of fundamental challenges in AGI, including continual and transfer learning, deep reinforcement learning, and neural models of navigation. Raia came to AI research obliquely. After an undergraduate degree in religion and philosophy from Reed College, she veered off-course (on-course?) and became a computer scientist. Raia’s PhD with Yann LeCun, at NYU, focused on machine learning using Siamese neural nets (often called a β€˜triplet loss’ today) and on deep learning for mobile robots in the wild. Her thesis, β€˜Learning Long-range vision for offroad robots’, was awarded the Outstanding Dissertation award in 2009. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 8852 TEDx Talks
Build a Game AI - Machine Learning for Hackers #3
 
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This video will get you up and running with your first game AI in just 10 lines of Python. The AI can theoretically learn to master any game you train it on, but has only been tested on 2D Atari games so far. The code for this video is here: https://github.com/llSourcell/Game-AI I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Tensorflow install instructions here: https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-installation Gym install instructions here: https://gym.openai.com/docs Great course on the brain (I really love this course): https://www.mcb80x.org/ Original Deep Q Learner Paper: https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf Lots of info on convolutional neural networks: http://cs231n.github.io/convolutional-networks/ Lots of info on reinforcement learning: http://www.nervanasys.com/demystifying-deep-reinforcement-learning/ I'm a fan of www.fomoro.com for cloud GPU computing since they are the only free-to-try cloud GPU provider I could find. Let me know if you find another! I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 98011 Siraj Raval
Google DeepMind's Deep Q-learning playing Atari Breakout
 
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Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. It is capable of playing many Atari games and uses a combination of deep artificial neural networks and reinforcement learning. After presenting their initial results with the algorithm, Google almost immediately acquired the company for several hundred million dollars, hence the name Google DeepMind. Please enjoy the footage and let me know if you have any questions regarding deep learning! ______________________ Recommended for you: 1. How DeepMind's AlphaGo Defeated Lee Sedol - https://www.youtube.com/watch?v=a-ovvd_ZrmA&index=58&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e 2. How DeepMind Conquered Go With Deep Learning (AlphaGo) - https://www.youtube.com/watch?v=IFmj5M5Q5jg&index=42&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e 3. Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays - https://www.youtube.com/watch?v=Ih8EfvOzBOY&index=14&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Subscribe if you would like to see more content like this: http://www.youtube.com/subscription_center?add_user=keeroyz - Original DeepMind code: https://sites.google.com/a/deepmind.com/dqn/ - Ilya Kuzovkin's fork with visualization: https://github.com/kuz/DeepMind-Atari-Deep-Q-Learner - This patch fixes the visualization when reloading a pre-trained network. The window will appear after the first evaluation batch is done (typically a few minutes): http://cg.tuwien.ac.at/~zsolnai/wp/wp-content/uploads/2015/03/train_agent.patch - This configuration file will run Ilya Kuzovkin's version with less than 1GB of VRAM: http://cg.tuwien.ac.at/~zsolnai/wp/wp-content/uploads/2015/03/run_gpu - The original Nature paper on this deep learning technique is available here: http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html - And some mirrors that are not behind a paywall: http://www.cs.swarthmore.edu/~meeden/cs63/s15/nature15b.pdf http://diyhpl.us/~nmz787/pdf/Human-level_control_through_deep_reinforcement_learning.pdf Web β†’ https://cg.tuwien.ac.at/~zsolnai/ Twitter β†’ https://twitter.com/karoly_zsolnai
Views: 896673 Two Minute Papers
AI learns to play Google Chrome Dinosaur Game || Can you beat it??
 
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Using NEAT I created an AI to play the Google Chrome Dionsaur Game, and its awesome Big thanks to Brilliant.org for supporting this channel check them out at https://www.brilliant.org/CodeBullet Become a patreon to support my future content as well as sneak peaks of whats to come. https://www.patreon.com/CodeBullet Check out my Discord server https://discord.gg/UZDMYx5
Views: 5732232 Code Bullet
Deep Q Learning for Video Games - The Math of Intelligence #9
 
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We're going to replicate DeepMind's Deep Q Learning algorithm for Super Mario Bros! This bot will be able to play a bunch of different video games by using reinforcement learning. This is the first video in this series that uses libraries (Keras & Gym) because if it didn't, the code would be way too long for a short video. I'll make a longer, in-depth version without libraries soon. Code for this video: https://github.com/llSourcell/deep_q_learning Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0 http://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html http://neuro.cs.ut.ee/demystifying-deep-reinforcement-learning/ http://karpathy.github.io/2016/05/31/rl/ https://yanpanlau.github.io/2016/07/10/FlappyBird-Keras.html https://keon.io/deep-q-learning/ http://www0.cs.ucl.ac.uk/staff/d.silver/web/Resources_files/deep_rl.pdf http://mnemstudio.org/path-finding-q-learning-tutorial.htm Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 132660 Siraj Raval
Artificial Intelligence plays Call Of Duty (with commentary)
 
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here is the original video published 3 years ago without the commentary: https://youtu.be/_dJfpvM1bd8 The most important topic regarding modern Artificial intelligence is the robot's ability to do recursive tasks. Opening a door or baking a cake or doing any human task requires recursive tasks. For example, when you open a door there are many recursive sub-tasks you must do, such as having the key, or turning the door knob. My AI program uses movie sequences called pathways to store life experiences. Therefore, recursive tasks are stored as linear possibilities. This way, I don't have to pre-define rules or goals or procedures into the robot's brain. When I filed my patents and books starting from 2006, my goal was to design a robot with human level AI. The benchmark i used to test the robot's cognitive skills and abilities is to let it play video games. If my robot can play every video game in the world, then it has achieved intelligence at a human-level. In my first patent filed in 2006 (priority), I used the popular video game, Zelda to demonstrate my robots intelligence. I chose this game because it is very complex and requires at least a 6th grade level intelligence to beat. If the robot can play Zelda it can essentially play any video game. The important thing is that I tried to demonstrate how my robot does recursive tasks. While the robot is managing multiple tasks, it's also doing other things like: 1. navigate in an unknown environment 2. attack enemies 3. generate common sense knowledge. 4. solve problems. 5. do induction and deduction reasoning. 6. do multiple recursive tasks. 7. read and understand natural language. 8. identify objects and generate logical facts. etc. The A.I. is playing this call of duty game for the first time and is using a general pathway to play the game. Since this is the first time, the robot doesn't understand the rules, goals, or procedures of the game. He uses common sense knowledge and logical reasoning to discover the objectives and rules of the game. In other words, the robot is using logical and reasoning to discover recursive tasks. This video was made over 3 years ago and this is the first time I'm trying to explain how and why the robot makes decisions in the game. And the content in this video is based on 8 patents and 5 books filed from 2006-2007. the data structure to Human-Level AI: https://youtu.be/KEyPzMi8wts website: http://www.humanlevelartificialintelligence.com tags: call of duty, ai plays call of duty, human level artificial intelligence, ai, artificial intelligence, artificial general intelligence, true ai, strong ai, human level ai, cognitive science, ai plays video game, robot plays video game, agi, digital human brain, human intelligence, human brain, human mind, human thought, ai plays role playing games, ai play rpg.
Views: 21269 electronicdave2
πŸ–₯️ HOW TO GET STARTED WITH MACHINE LEARNING!
 
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The #1 question I get is how to get started with Machine Learning, so join me today as we talk about this! :D SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb Favorite Resources ----- Activation Functions - https://en.wikipedia.org/wiki/Activation_function Luis Serrano's Neural Network Series (REALLY GOOD) - https://www.youtube.com/watch?v=UNmqTiOnRfg&list=PLs8w1Cdi-zvavXlPXEAsWIh4Cgh83pZPO Giant_Neural_Network's Neural Network Series (REALLY GOOD) - https://www.youtube.com/watch?v=ZzWaow1Rvho&list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So Macheads101's Neural Network series - https://www.youtube.com/watch?v=OypPjvm4kiA&list=PL3XtGMELeTxytyFKrUu87EudAJiO4XK0u 3Blue1Brown's Neural Network Series - https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi Hugo's Neural Network Series - https://www.youtube.com/watch?v=SGZ6BttHMPw&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH James Mccaffrey Talk (A BIT OUTDATED INFORMATION BUT STILL A FUN ONE)- https://www.youtube.com/watch?v=-zT1Zi_ukSk Important Maths ----- Vectors (explained with Linear Algebra): https://www.khanacademy.org/math/linear-algebra/vectors-and-spaces Vectors (explained with PreCal): https://www.khanacademy.org/math/precalculus/vectors-precalc Matrices: https://www.khanacademy.org/math/precalculus/precalc-matrices Sequences: https://www.khanacademy.org/math/precalculus/seq-induction Derivative Rules: https://www.khanacademy.org/math/ap-calculus-bc/bc-derivative-rules Maths that will help ----- Algebra Functions: https://www.khanacademy.org/math/algebra/algebra-functions Quadratics: https://www.khanacademy.org/math/algebra/quadratics Irrational: https://www.khanacademy.org/math/algebra/rational-and-irrational-numbers Analyzing Categorical Data: https://www.khanacademy.org/math/statistics-probability/analyzing-categorical-data REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #softwareengineering
Views: 197047 Jabrils
CREATE AI FOR VIDEO GAMES - GOOGLE'S DINO/AI
 
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Awesome to have you here ❀️ TIME TO CODE πŸ–₯️ 🎧 β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” JOIN THE DEVELOPER COMMUNITY πŸ‘¬: β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” πŸ“Ί SUBSCRIBE ON YOUTUBE: https://goo.gl/qkgzWg πŸ‘₯ JOIN US ON SLACK: https://goo.gl/dbpgZR πŸ’Œ JOIN MY EXCLUSIVE MAILING LIST: https://goo.gl/qz1xeZ β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” HOW TO ASK ME QUESTIONS 🎀: β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” πŸ‘¬ 1:1 PRIVATE MENTORSHIP: https://goo.gl/P3PgC2 🎨 DM ME ON INSTAGRAM: https://www.instagram.com/jgordonfisher πŸ‘₯ ASK ME ON SLACK: https://goo.gl/dbpgZR πŸ”— Linkedin: https://www.linkedin.com/in/johngordonfisher/ πŸ’¬ Facebook: https://www.facebook.com/jgfishercode/ 🐀 Twitter: https://twitter.com/jgordonfisher πŸ–οΈ Quora: https://www.quora.com/profile/John-Fisher-167 β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” MORE ABOUT WHAT YOU WATCHED πŸŽ₯: β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” πŸ“œ DESCRIPTION: Learn how to create a video game AI using a convolutional neural network to play Google's Dinosaur run and other video games. As a side note. I move over the details of the CNN architecture very quickly. If you guys have any questions about the specifics please ask below and we can discuss! πŸ‘¨β€πŸ’» CODE: Code: https://github.com/jg-fisher/dinoAI β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” BOOKS I LOVE ❀️: β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” DEEP LEARNING: https://amzn.to/2LomU4y HANDS-ON MACHINE LEARNING: https://amzn.to/2JSxhIv VIOLENT PYTHON: https://amzn.to/2u02rZf BLACK-HAT PYTHON: https://amzn.to/2u02rZf
Views: 9402 John G. Fisher
Computer Games Empower Deep Learning Research | Two Minute Papers #105
 
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The paper "Playing for Data: Ground Truth from Computer Games" is available here: http://download.visinf.tu-darmstadt.de/data/from_games/ Computer graphics / VR challenge grant at Experiment: https://experiment.com/grants/graphics-and-virtualreality Other popular datasets: - CamVid - http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/ - CityScapes - https://www.cityscapes-dataset.com/dataset-overview/ WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Julian Josephs, Daniel John Benton, Dave Rushton-Smith, Benjamin Kang. https://www.patreon.com/TwoMinutePapers Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Music: Dat Groove by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/ Splash screen/thumbnail design: FelΓ­cia FehΓ©r - http://felicia.hu KΓ‘roly Zsolnai-FehΓ©r's links: Facebook β†’ https://www.facebook.com/TwoMinutePapers/ Twitter β†’ https://twitter.com/karoly_zsolnai Web β†’ https://cg.tuwien.ac.at/~zsolnai/
Views: 23282 Two Minute Papers
Computer program that learns to play classic NES games
 
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This is an explanation and demo of software I wrote that learns how to play a Nintendo Entertainment System game and then automatically plays it. This is real. Research paper published in SIGBOVIK 2013: "The first level of Super Mario Bros. is easy with lexicographic ordering a and time travel ...after that it gets a little tricky." http://tom7.org/mario/mario.pdf Follow-up video with more games: http://www.youtube.com/watch?v=YGJHR9Ovszs And episode 3: http://www.youtube.com/watch?v=Q-WgQcnessA For more info and source code, see: http://tom7.org/mario/
Views: 1912201 suckerpinch
NES Tetris Lua AI playing to 999999
 
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More projects at: http://www.sanderhendrickx.be --- AI written in Lua playing the original NES Tetris on the Bizhawk emulator until maximum score. The AI has no knowledge of the next tetromino. Excellent play near the end to get the last 300.000 points, including several Tetris clears from 15:30 onward. 06:00 100.000 09:35 250.000 10:50 327.000 lvl 29 12:54 500.000 16:38 999.999
Views: 69706 Sander Hendrickx
Computer learns to play Flappy Bird game using machine learning
 
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Just a small project using Unity's Machine Learning agents library. Unity 2017.2
Views: 1675 Tomek S
Machine Learning for Flappy Bird using Neural Network & Genetic Algorithm
 
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Read the complete tutorial about how to implement a machine learning algorithm for the Flappy Bird video game here: http://www.askforgametask.com/tutorial/machine-learning-algorithm-flappy-bird This video shows a creation of an artificial intelligence controller for the Flappy Bird game using neural networks and a genetic algorithm. The program is written in HTML5 using Phaser framework (http://phaser.io/). There is also used Synaptic Neural Network library (https://synaptic.juancazala.com/) to implement entire artificial neural network instead of making a new one from the scratch. Download source code here: https://github.com/ssusnic/Machine-Learning-Flappy-Bird ----------------------------------------------------------------- According to Arthur Samuel, machine learning is the science of getting computers to act without being explicitly programmed. It is a fine tuning process of learning that incrementally improves an initial random system. The form of machine learning implemented in this program uses a genetic algorithm to train artificial neural networks. The birds are learning how to flap optimally in order to fly safely through barriers as long as possible. The main concept is based on these 3 steps: 1. creating the initial population of 10 birds randomly 2. learning as the game is being played 3. applying natural evolution to form the next improved population ----------------------------------------------------------------- To play the game, each bird has its own neural network consisted of the next 3 layers: 1. an input layer with 2 neurons representing what a bird sees: - horizontal distance to the closest gap - height difference to the closest gap 2. a hidden layer with 6 neurons 3. an output layer with 1 neuron to perform flap if its value is greater than 0.5 ----------------------------------------------------------------- To measure the quality of birds and select the best ones, for each bird is calculated its fitness function in this way: - reward a bird by its total traveled distance - penalize a bird by its current distance to the closest gap When the entire population is dead, the fittest four birds are selected to breed a new population by using genetic algorithm operators: selection, crossover and mutation. ----------------------------------------------------------------- Visit us: http://www.askforgametask.com Like us: https://www.facebook.com/askforgametask Follow us: https://twitter.com/ssusnic Music: "Bedtime Tune" by Jay Man http://www.ourmusicbox.com
Views: 580250 Srdjan Susnic
Introduction to AI for Video Games
 
09:50
Welcome to my new reinforcement learning course! For the next 10 weeks we're going to go from the basics to the state of the art in this popular subfield of machine learning using video game environments as our testbed. RL is a huge reason DeepMind and OpenAI have been so successful thus far in creating world changing AI bots. Make sure to subscribe so you'll get updated with every new video I release. And don't worry if you don't understand policy iteration or value iteration just yet, I merely wanted to introduce these phrases in this video, next week i'm going to really dive into what these 2 methods look like programmatically. Code for this video (with coding challenge): https://github.com/llSourcell/AI_for_video_games_demo Syllabus for this course: https://github.com/llSourcell/AI_for_Video_Games_Syllabus Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0 http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow https://www.analyticsvidhya.com/blog/2017/01/introduction-to-reinforcement-learning-implementation/ https://web.mst.edu/~gosavia/tutorial.pdf http://karpathy.github.io/2016/05/31/rl/ http://www.wildml.com/2016/10/learning-reinforcement-learning/ https://www.quora.com/What-are-some-good-tutorials-on-reinforcement-learning Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 39768 Siraj Raval
Machine learning fight scenarios
 
04:28
Various examples of Multi-agent Competition. Learn more here: https://sites.google.com/view/multi-agent-competition
Views: 247028 Robert McGregor
πŸ–₯️ TRAINING MY FIRST MACHINE LEARNING GAME! (2/4)
 
17:02
Now that I've written my first Machine Learning Neural Network it's time to train it! Boy this is great fun :D PATREON: https://www.patreon.com/Jabrils If you haven't yet watched part 1 here's the link: https://www.youtube.com/watch?v=ZX2Hyu5WoFg SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science Table Of Contents ----- Coming soon Mentions ----- Neural Network Structures - https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464 3Blue1Brown's Neural Network Series - https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi Luis Serrano's Neural Network Series (REALLY GOOD) - https://www.youtube.com/watch?v=UNmqTiOnRfg&list=PLs8w1Cdi-zvavXlPXEAsWIh4Cgh83pZPO Giant_Neural_Network's Neural Network Series (REALLY GOOD) - https://www.youtube.com/watch?v=ZzWaow1Rvho&list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So Macheads101's Neural Network series - https://www.youtube.com/watch?v=OypPjvm4kiA&list=PL3XtGMELeTxytyFKrUu87EudAJiO4XK0u Hugo's Neural Network Series - https://www.youtube.com/watch?v=SGZ6BttHMPw&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH Daniel Shiffman's Nature of Code - http://natureofcode.com/ Daniel Shiffman's Genetic Algorithm Video Series - https://www.youtube.com/watch?v=9zfeTw-uFCw&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #gamedev
Views: 298521 Jabrils
MarI/O - Machine Learning for Video Games live neural network development
 
01:22:37
MarI/O - Machine Learning for Video Games live neural network development, In this livestream a new neural network is formed by creating connections between visual inputs and controls, the neural network evolves by using speed and points as fitness. To speed up the learning progress the game is sped up 4x. Music playlist from: https://www.youtube.com/watch?v=1gnGC22PYdw&t=521s music from: https://www.youtube.com/channel/UC_aEa8K-EOJ3D6gOs7HcyNg mario let me love you, mario maker, mario kart 8, mario selman, mario bros, mario theme song, mario kart, mario and luigi, mario party 10, mario maker 3ds, mario, mario aguilar, mario and sonic at the rio 2016 olympic games, mario and luigi paper jam, mario and sonic, mario and luigi dream team, mario and luigi bowser's inside story, mario and luigi superstar saga, mario and luigi partners in time, mario animation, a mario christmas, a mario game, a mario christmas carol, a mario song, a mario theatre, a mario cake, a marionette, a mario story, a mario video, a mario movie, mario badescu, mario bautista, mario batali, mario balotelli, mario break up, mario badescu rosewater spray, mario braid my hair, mario bros theme song, mario badescu drying lotion, r&b mario, lil b mario, r.o.b mario kart ds, mario playlist r&b, super mario b, mario kart 8 b dasher, mario b salsa, mario up b wall jump, mario 2015 r&b, mario forever world b, mario crying out for me, mario christmas, mario crying out for me remix, mario casas, mario color splash, mario chalmers, mario castle calamity, mario christmas song, mario creepypasta, c marion, cookie swirl c mario, mario c'mon, mario c making love, mario m - evac, mario badescu vitamin c serum, mario c'mon remix, mario c'mon lyrics, mono mario c-kan, mario c jessica, mario domm, mario dubstep, mario domm y wisin, mario dedivanovic, mario death sound, mario domm ft wisin, mario dies, mario dubstep remix, mario dab, mario domm nueve meses, canon in d mario paint, dia d mario irivarren, demolition d mario, mario 3d world, mario d smith, d.r mario song, mario rosenstock michael d higgins, mario d boro, mario lanza parlami d'amore mariΓΉ, marion magat d league, mario el cachorro delgado, mario edwards jr, mario exe, mario el cachorro delgado 2016, mario evolution, mario el cachorro, mario easter eggs, mario editor, mario episodes, mario el cachorro delgado manuel torres felix, e mario de tu mujer, zaplakalo e mariovo, viata mea e mario, marco e mario, tareco e mariola, goku e mario, sonic e mario, tati e mario, carrossel alicia e mario, luigi e mario, mario ft lil wayne crying out for me remix, mario fables, mario frustration, mario ft nicki minaj somebody else, mario five nights at freddy's, mario funny videos, mario ft gucci break up, mario farts, mario friends, mario frangoulis, mario kart 8 f zero, mario mama f*cker, mario kart 8 f zero music, mario kart f zero, super mario f, mario kart f zero music, mario kart 8 f-zero results, mario says f word, mario said the f word, mario kart wii f zero, mario galaxy, mario games, mario go, mario game over, mario gotze, mario goes berserk, mario galaxy ost, mario galaxy music, mario gomez song, mario gotze goal vs argentina, g mario ella no es suya, g mario klau, funky g marioneta, young g maria moore, young g mario vezessen, dimitry g mario, young g mario 2015, cuerpo g mario luna, mario g major, super mario g, mario how do i breathe, mario how could you, mario head, mario hoops 3 on 3, mario hezonja, mario hart, mario how do i breathe lyrics, mario hacks, mario heart crying out for me, mario how could you lyrics, s.s.h mario, mario s.h. figuarts, h mario casas, h marion la vache, mario 10h, mario in real life, mario i choose you, mario is mental, mario i need more, can artificial intelligence create art, artificial intelligence you can dream, inteligencia artificial do google, how does artificial intelligence work, artificial intelligence what you had, how artificial intelligence works, is artificial intelligence possible, is artificial intelligence dangerous, is artificial intelligence the next phase of human evolution, what artificial intelligence, what is artificial intelligence in computer science, what is artificial intelligence in hindi, why artificial intelligence, will artificial intelligence kill us all, will artificial intelligence make us extinct
Views: 3675 kees tovernaar
How to Make an Amazing Video Game Bot Easily
 
07:34
In this video, we first go over the history of video game AI, then I introduce OpenAI's Universe, which lets you build a bot that can play thousands of different video games. It has environments for all sorts of games, from Space Invaders, to Grand Theft Auto, to Protein folding simulations. CODING CHALLENGE DUE DATE: Thursday, December 15th. (which is 2 weeks, not 1 week from now like usual) The coding challenge for this video is to make a bot that's better than this video's demo code. Post your Github link in the comments! For your README, just include a 1-3 sentence description of your strategy and instructions on how to run the code.The demo code can be found in the README of the Universe repo. : https://github.com/openai/universe And a Tensorflow based starter bot can be found here: https://github.com/openai/universe-starter-agent Some great learning resources: https://www.nervanasys.com/openai/ http://karpathy.github.io/2016/05/31/rl/ http://kvfrans.com/simple-algoritms-for-solving-cartpole/ https://kofzor.github.io/Reinforcement_Learning_101/ Join other Wizards on our Slack channel: https://wizards.herokuapp.com/ OpenAI asked me to make this video and I gladly said yes. They are awesome!! Please subscribe! And like and comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 263790 Siraj Raval
Machine Learning vs Deep Learning vs Artificial Intelligence | ML vs DL vs AI | Simplilearn
 
27:57
This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different. This Machine Learning Vs Deep Learning Vs Artificial Intelligence video will explain the topics listed below: 1. Artificial Intelligence example ( 00:29 ) 2. Machine Learning example ( 01:29 ) 3. Deep Learning example ( 01:44 ) 4. Human vs Artificial Intelligence ( 03:34 ) 5. How Machine Learning works ( 06:11 ) 6. How Deep Learning works ( 07:09 ) 7. AI vs Machine Learning vs Deep Learning ( 12:33 ) 8. AI with Machine Learning and Deep Learning ( 13:05 ) 9. Real-life examples ( 15:29 ) 10. Types of Artificial Intelligence ( 17:50 ) 11. Types of Machine Learning ( 20:32 ) 12. Comparing Machine Learning and Deep Learning ( 22:46 ) 13. A glimpse into the future ( 25:46 ) Subscribe to our channel for more Machine Learning & AI Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=What-is-Machine-Learning-7JhjINPwfYQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Machine Learning, Deep learning and Artificial Intelligence, Check out our Artificial Intelligence Engineer Program: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Machine-Learning-Vs-Deep-Learning-Vs-Artificial-Intelligence-9dFhZFUkzuQ&utm_medium=Tutorials&utm_source=youtube You can also go through the Slides here: https://goo.gl/cdQ7uy #SimplilearnMachineLearning #SimplilearnAI #SimplilearnDeepLearning #Artificialintelligence #MachineLearningTutorial - - - - - - - - About Simplilearn Artificial Intelligence Engineer course: What are the learning objectives of this Artificial Intelligence Course? By the end of this Artificial Intelligence Course, you will be able to accomplish the following: 1. Design intelligent agents to solve real-world problems which are search, games, machine learning, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, agent decision making 2. Master TensorFlow by understanding the concepts of TensorFlow, the main functions, operations and the execution pipeline 3. Acquire a deep intuition of Machine Learning models by mastering the mathematical and heuristic aspects of Machine Learning 4. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before 5. Comprehend and correlate between theoretical concepts and practical aspects of Machine Learning 6. Master and comprehend advanced topics like convolutional neural networks, recurrent neural networks, training deep networks, high-level interfaces - - - - - - What skills will you learn with our Masters in Artificial Intelligence Program? 1. Learn about major applications of Artificial Intelligence across various use cases in various fields like customer service, financial services, healthcare, etc 2. Implement classical Artificial Intelligence techniques such as search algorithms, neural networks, tracking 3. Ability to apply Artificial Intelligence techniques for problem-solving and explain the limitations of current Artificial Intelligence techniques 4. Formalise a given problem in the language/framework of different AI methods such as a search problem, as a constraint satisfaction problem, as a planning problem, etc - - - - - - For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 74463 Simplilearn
Machine Learning Tetris
 
00:58
This algorithm uses a reinforcement learning technique to learn how to play Tetris. It developed a policy on how to select the best action based upon four features of the board: aggregate height, unevenness, maximum height, and number of holes. It performed stochastic gradient ascent to achieve the highest score, and quickly outpaced my own efforts. Eventually, since the score is incremented by the square of the number of lines clear, it even learned to clear multiple lines at once! Audio from Musics8Bits: https://www.youtube.com/watch?v=E8FQBjVlERk Source code can be found here: https://github.com/scuriosity/machine-learning-tetris
Views: 11349 Andrew Simon
Predicting the Winning Team with Machine Learning
 
29:37
Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn machine learning library as our predictive tool. Code for this video: https://github.com/llSourcell/Predicting_Winning_Teams Please Subscribe! And like. And comment. More learning resources: https://arxiv.org/pdf/1511.05837.pdf https://doctorspin.me/digital-strategy/machine-learning/ https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/ http://data-informed.com/predict-winners-big-games-machine-learning/ https://github.com/ihaque/fantasy https://www.credera.com/blog/business-intelligence/using-machine-learning-predict-nfl-games/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 78413 Siraj Raval
Evolution Simulator (Part 1/4)
 
05:34
Part 2: https://www.youtube.com/watch?v=31dsH2Fs1IQ Evolution Simulator Source Code: (I can only hope there are no bugs): http://www.openprocessing.org/sketch/377698 Also, yes, I sound a lot like Tennis Ball. I created this simulator with Processing 1.5.1. I probably should have mentioned that in the video. Music: "Perspectives" by Kevin MacLeod http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1300027
Views: 2483578 carykh
Machine Learning in Video Games
 
03:38
Machine learning is an amazing technique of studying algorithms and creating custom automated responses. In video games this can drastically improve your gaming experience; from improving AI (Artificial Intelligence) and creating realistic competitive NPCs to fill lobbies, to simply improving a games reaction to a particular players playing style. Today I explain a brief overview of what machine learning is and how it is affecting your gaming experience today. === Caption === So starting off with machine learning, lets first debunk a common misconception. A lot of the time non-programmers talk about machine learning they make it seem like this mystical thing that is very strange, unorganized, chaotic and illogical, but it’s anything apart from that. It’s a very structured scientific and mathematical process. Essentially machine learning is the process of studying algorithms and discovering matching patterns within large data sets. Just a reminder incase you aren’t familiar with the term β€œalgorithm”, but it’s simple a step-by-step procedure with a set of rules and operations that given some input will generate an output. So since machine learning is the process of studying algorithms; this means that instead of a programmer explicitly writing code for a particular procedure, they write a program that would take all of this input, find patterns, and then determine what would be the proper response. So now that we know that, let’s talk about how it’s involved with games. A few quick popular examples are Forza Motorsport 5, and Titan Fall. In Forza everyone has a β€œracing profile” that is a ghost racer, or computer version of you that other people can race against; and also when you race you can compete with other peoples profiles and not them themselves. So basically what this means is that a computer observes how a particular person races. It does this by tracking given a particular situation like a turn, or your surrounded by a bunch of cars and sees how do you react, do you make tight turns, pass people, race aggressively or passively? Then once the computer recognizes and learns a bunch of patterns in your driving responses, when other people race against your profile the program can say given that situation what would you probably do, then it’s as-if that person is playing a near replica of you. Now onto the specific technologies that Forza is using to complete this. All of your controller inputs, and driving reactions in your game is sent from your console over a service like xbox live to a server that runs something called Drivatar, which is a Machine Learning program Microsoft Research has built. Then Drivitar, figures out given which profiles you are racing against what their response would be, then sends that back to your console for it to be processed and rendered on your screen. Now not only is the speed of this amazingly fast but lets talk about what this means for gaming. So if you have a computer observing all of these different racers and generating their profiles; and you have people racing against profiles. Why can't you have fake profiles racing against fake profiles to determine which is better? Which means you have replicas of people and you can figure out which one is the best. Then you can determine which profile is the best overall. So now instead of someone specifically programing an AI you can just pick a profile. This way you can create an AI that is at least as good as the best human player that ever played the game. This way you can generate a lot of different difficulties and racing styles. This also translates to a bunch of other types of games like Titanfall. Imagine you are fighting against a computer enemy and they can learn how you respond to things. So they can make the game easy, hard, or uniquely respond to compliment your gaming style for the best gaming experience for you. === Resources === Drivatar: http://research.microsoft.com/en-us/projects/drivatar/
Views: 1647 Devon Bernard
Phase-Functioned Neural Networks for Character Control
 
04:51
We present a real-time character control mechanism using a novel neural network architecture called a Phase-Functioned Neural Network. In this network structure, the weights are computed via a cyclic function which uses the phase as an input. Along with the phase, our system takes as input user controls, the previous state of the character, the geometry of the scene, and automatically produces high quality motions that achieve the desired user control. The entire network is trained in an end-to-end fashion on a large dataset composed of locomotion such as walking, running, jumping, and climbing movements fitted into virtual environments. Our system can therefore automatically produce motions where the character adapts to different geometric environments such as walking and running over rough terrain, climbing over large rocks, jumping over obstacles, and crouching under low ceilings. Our network architecture produces higher quality results than time-series autoregressive models such as LSTMs as it deals explicitly with the latent variable of motion relating to the phase. Once trained, our system is also extremely fast and compact, requiring only milliseconds of execution time and a few megabytes of memory, even when trained on gigabytes of motion data. Our work is most appropriate for controlling characters in interactive scenes such as computer games and virtual reality systems.
Views: 792649 Yoshiboy2
Machine Learning Cars in Unity - Neural Networks
 
06:40
After the video's done, I felt like it's some freaky video from the 90s, but... It'll get the job done. That video is for an article on code project. You can view it and even download the whole project: https://www.codeproject.com/Articles/1220644/ReInventing-Neural-Networks-Part Music by Kevin MacLeod.
Views: 18700 Byte-Master-101
Machine Learning & Artificial Intelligence: Crash Course Computer Science #34
 
11:51
So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever. Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV Want to find Crash Course elsewhere on the internet? Facebook - https://www.facebook.com/YouTubeCrash... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 364909 CrashCourse
AI learns to play 2048
 
11:11
I created an AI to play the game 2048, his name is Thomas Huge thanks to Brilliant.org for supporting this channel check them out at https://www.brilliant.org/CodeBullet I have twitter now. Yay follow me to fill the void in my heart https://twitter.com/code_bullet Become a patreon to support my future content as well as sneak peaks of whats to come. https://www.patreon.com/CodeBullet Check out my Discord server https://discord.gg/UZDMYx5 I know heaps of people are going to ask so here is the music Mirror Mirror - Diamond Ortiz Smiles for miles - Silent Partner Hyperspeed - eveningland Gypsy Dance - Topher Mohr and Alex Elena Etherial Chior Ascends - Doug Maxwell Wishful thinking - Dan Labowitz
Views: 1808820 Code Bullet
Best Laptop for Machine Learning
 
09:05
What kind of laptop should you get if you want to do machine learning? There are a lot of options out there and in this video i'll describe the components of an ideal laptop for ML. I'll also mention the ideal desktop, DIY machine, and cloud option. We'll discuss how RAM, GPUs, CPUs, motherboards, hard drives, and other components affect training and inference time. This video was not sponsored. Only a few days left to signup for my dapps course! https://www.theschool.ai Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Helpful resources: https://lambdal.com/raw-configurator?product=quad https://www.nvidia.com/en-us/geforce/products/10series/laptops/ https://www.google.com/chromebook/device/acer-chromebook-11/ https://medium.com/yanda/building-your-own-deep-learning-dream-machine-4f02ccdb0460 https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 164384 Siraj Raval
Hello World - Machine Learning Recipes #1
 
06:53
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03
Views: 1720412 Google Developers
MarI/O - Machine Learning for Video Games live neural network development
 
02:57
MarI/O - Machine Learning for Video Games live neural network development, In this livestream a new neural network is formed by creating connections between visual inputs and controls, the neural network evolves by using speed and points as fitness. To speed up the learning progress the game is sped up 4x. Music playlist from: https://www.youtube.com/watch?v=1gnGC22PYdw&t=521s music from: https://www.youtube.com/channel/UC_aEa8K-EOJ3D6gOs7HcyNg mario let me love you, mario maker, mario kart 8, mario selman, mario bros, mario theme song, mario kart, mario and luigi, mario party 10, mario maker 3ds, mario, mario aguilar, mario and sonic at the rio 2016 olympic games, mario and luigi paper jam, mario and sonic, mario and luigi dream team, mario and luigi bowser's inside story, mario and luigi superstar saga, mario and luigi partners in time, mario animation, a mario christmas, a mario game, a mario christmas carol, a mario song, a mario theatre, a mario cake, a marionette, a mario story, a mario video, a mario movie, mario badescu, mario bautista, mario batali, mario balotelli, mario break up, mario badescu rosewater spray, mario braid my hair, mario bros theme song, mario badescu drying lotion, r&b mario, lil b mario, r.o.b mario kart ds, mario playlist r&b, super mario b, mario kart 8 b dasher, mario b salsa, mario up b wall jump, mario 2015 r&b, mario forever world b, mario crying out for me, mario christmas, mario crying out for me remix, mario casas, mario color splash, mario chalmers, mario castle calamity, mario christmas song, mario creepypasta, c marion, cookie swirl c mario, mario c'mon, mario c making love, mario m - evac, mario badescu vitamin c serum, mario c'mon remix, mario c'mon lyrics, mono mario c-kan, mario c jessica, mario domm, mario dubstep, mario domm y wisin, mario dedivanovic, mario death sound, mario domm ft wisin, mario dies, mario dubstep remix, mario dab, mario domm nueve meses, canon in d mario paint, dia d mario irivarren, demolition d mario, mario 3d world, mario d smith, d.r mario song, mario rosenstock michael d higgins, mario d boro, mario lanza parlami d'amore mariΓΉ, marion magat d league, mario el cachorro delgado, mario edwards jr, mario exe, mario el cachorro delgado 2016, mario evolution, mario el cachorro, mario easter eggs, mario editor, mario episodes, mario el cachorro delgado manuel torres felix, e mario de tu mujer, zaplakalo e mariovo, viata mea e mario, marco e mario, tareco e mariola, goku e mario, sonic e mario, tati e mario, carrossel alicia e mario, luigi e mario, mario ft lil wayne crying out for me remix, mario fables, mario frustration, mario ft nicki minaj somebody else, mario five nights at freddy's, mario funny videos, mario ft gucci break up, mario farts, mario friends, mario frangoulis, mario kart 8 f zero, mario mama f*cker, mario kart 8 f zero music, mario kart f zero, super mario f, mario kart f zero music, mario kart 8 f-zero results, mario says f word, mario said the f word, mario kart wii f zero, mario galaxy, mario games, mario go, mario game over, mario gotze, mario goes berserk, mario galaxy ost, mario galaxy music, mario gomez song, mario gotze goal vs argentina, g mario ella no es suya, g mario klau, funky g marioneta, young g maria moore, young g mario vezessen, dimitry g mario, young g mario 2015, cuerpo g mario luna, mario g major, super mario g, mario how do i breathe, mario how could you, mario head, mario hoops 3 on 3, mario hezonja, mario hart, mario how do i breathe lyrics, mario hacks, mario heart crying out for me, mario how could you lyrics, s.s.h mario, mario s.h. figuarts, h mario casas, h marion la vache, mario 10h, mario in real life, mario i choose you, mario is mental, mario i need more, can artificial intelligence create art, artificial intelligence you can dream, inteligencia artificial do google, how does artificial intelligence work, artificial intelligence what you had, how artificial intelligence works, is artificial intelligence possible, is artificial intelligence dangerous, is artificial intelligence the next phase of human evolution, what artificial intelligence, what is artificial intelligence in computer science, what is artificial intelligence in hindi, why artificial intelligence, will artificial intelligence kill us all, will artificial intelligence make us extinct
Views: 75 kees tovernaar
Runescape Low Level PVP Bot With Neural Network - Machine Learning
 
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I trained a bot to fight in PVP using a Rune 2H Pure account in Runescape. Link: https://drive.google.com/drive/folders/0B26krjpa9ytcbDgybG5GUWlNZkE?usp=sharing
Views: 7705 The One
How Machine Learning is Fighting Cancer
 
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Be one of the first 73 people to sign up with this link and get 20% off your subscription with Brilliant.org! https://brilliant.org/realengineering/ New vlog channel: https://www.youtube.com/channel/UCMet4qY3027v8KjpaDtDx-g Patreon: https://www.patreon.com/user?u=2825050&ty=h Facebook: http://facebook.com/realengineering1 Instagram: https://www.instagram.com/brianjamesmcmanus Twitter: https://twitter.com/Fiosracht Discord: https://discord.gg/s8BhkmN Get your Real Engineering shirts at: https://store.dftba.com/collections/real-engineering Credits: Writer/Director: Stephanie Sammann (https://www.stephanie-sammann.com/) Narrator/Co-Director: Brian McManus Co-Director: Mike Ridolfi (https://www.moboxgraphics.com/) Sound: Graham Haerther (https://haerther.net/) Thumbnail: Simon Buckmaster https://twitter.com/forgottentowel References: [1] https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76 [2] https://static1.squarespace.com/static/5443d7c7e4b06e8b47de9a55/t/5a240960c8302530429f629e/1512311141147/JYI_Dec2017_122to124*.pdf [3] http://sci-hub.tw/10.1016/j.gene.2016.01.023 [4] https://www.explainthatstuff.com/introduction-to-neural-networks.html [5] https://www.youtube.com/watch?v=aircAruvnKk&feature=youtu.be [6] https://hackernoon.com/gradient-descent-aynk-7cbe95a778da [7]https://towardsdatascience.com/machine-learning-fundamentals-via-linear-regression-41a5d11f5220 [8] http://mccormickml.com/2014/03/04/gradient-descent-derivation/ [9]https://towardsdatascience.com/understanding-learning-rates-and-how-it-improves-performance-in-deep-learning-d0d4059c1c10 [10] https://news.microsoft.com/stories/computingcancer/ Music by Epidemic Sound: http://epidemicsound.com/creator Song: Milo's Journey - Sum Wave Strange Tech 11 - Gunnar JohnsΓ©n Momentum 5 - Gunnar JohnsΓ©n Ocean Lanes 2 - Gunnar JohnsΓ©n Nightwaves 1 - Gunnar JohnsΓ©n Reflective Moods 2 - Gunnar JohnsΓ©n Thank you to my patreon supporters: Adam Flohr, darth patron, Henning Basma, Karl Andersson, Mark Govea, Hank Green, Tony Kuchta, Jason A. Diegmueller, Chris Plays Games, William Leu, Frejden Jarrett, Vincent Mooney, Ian Dundore, John & Becki Johnston. Nevin Spoljaric, Kedar Deshpande
Views: 204906 Real Engineering
10 Machine Learning based Products You MUST See
 
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Cozmo - https://anki.com/en-us/cozmo NVIDIA AI Car - http://nvda.ws/2cBewNI Moley Robot - http://www.moley.com/ Sawyer Robot - http://www.rethinkrobotics.com/sawyer-intera-3/ Google DeepMind Alpha GO - https://deepmind.com/research/alphago/ Berkeley BRETT (PR 2)- http://rll.berkeley.edu/deeplearningrobotics/ Google Research hand-eye coordination - https://research.googleblog.com/2016/03/deep-learning-for-robots-learning-from.html Solo Emotional Radio - http://uniform.net/work/projects/solo/ Google Speech Recognition - https://cloud.google.com/speech/ Kuka Self-Learning robot - http://www.kuka-robotics.com/en/
Views: 503958 Future Lab
A.I. LEARNS to Play Hill Climb Racing
 
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Watch as an AI teaches itself to play Hill climb Racing Huge thanks to Brilliant.org for sponsoring this video and supporting this channel check them out: https://www.brilliant.org/CodeBullet Videos of me making Hill Climb Racing Part 1: https://www.youtube.com/watch?v=BP6xtp_9UME Part 2: https://www.youtube.com/watch?v=FKDNdOU_wvk&t=455s Music: Fame on Fires cover of numb: https://www.youtube.com/watch?v=0v-iZ7W-WMM Twitter: https://twitter.com/code_bullet Patreon: https://www.patreon.com/CodeBullet Discord: https://discord.gg/UZDMYx5
Views: 1081339 Code Bullet
Machine Learning Pong Game in the Browser.
 
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Machine Learning Pong it's an experimental version of the famous computer game Pong that aims to educate users on how machine learning tasks are trained through a fun gaming experience. The user is able to teach, in realtime, a neural network and then play the game in the browser using a set of assigned emojis as reference.
Views: 553 Alejandro Matamala
Google's self-learning AI AlphaZero masters chess in 4 hours
 
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Google's AI AlphaZero has shocked the chess world. Leaning on its deep neural networks, and general reinforcement learning algorithm, DeepMind's AI Alpha Zero learned to play chess well beyond the skill level of master, besting the 2016 top chess engine Stockfish 8 in a 100-game match. Alpha Zero had 28 wins, 72 draws, and 0 losses. Impressive right? And it took just 4 hours of self-play to reach such a proficiency. What the chess world has witnessed from this historic event is, simply put, mind-blowing! AlphaZero vs Magnus Carlsen anyone? :) 19-page paper via Cornell University Library https://arxiv.org/abs/1712.01815 https://arxiv.org/pdf/1712.01815.pdf PGN: 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 Bc5 5. Bxc6 dxc6 6. 0-0 Nd7 7. c3 0-0 8. d4 Bd6 9. Bg5 Qe8 10. Re1 f6 11. Bh4 Qf7 12. Nbd2 a5 13. Bg3 Re8 14. Qc2 Nf8 15. c4 c5 16. d5 b6 17. Nh4 g6 18. Nhf3 Bd7 19. Rad1 Re7 20. h3 Qg7 21. Qc3 Rae8 22. a3 h6 23. Bh4 Rf7 24. Bg3 Rfe7 25. Bh4 Rf7 26. Bg3 a4 27. Kh1 Rfe7 28. Bh4 Rf7 29. Bg3 Rfe7 30. Bh4 g5 31. Bg3 Ng6 32. Nf1 Rf7 33. Ne3 Ne7 34. Qd3 h5 35. h4 Nc8 36. Re2 g4 37. Nd2 Qh7 38. Kg1 Bf8 39. Nb1 Nd6 40. Nc3 Bh6 41. Rf1 Ra8 42. Kh2 Kf8 43. Kg1 Qg6 44. f4 gxf3 45. Rxf3 Bxe3+ 46. Rfxe3 Ke7 47. Be1 Qh7 48. Rg3 Rg7 49. Rxg7+ Qxg7 50. Re3 Rg8 51. Rg3 Qh8 52. Nb1 Rxg3 53. Bxg3 Qh6 54. Nd2 Bg4 55. Kh2 Kd7 56. b3 axb3 57. Nxb3 Qg6 58. Nd2 Bd1 59. Nf3 Ba4 60. Nd2 Ke7 61. Bf2 Qg4 62. Qf3 Bd1 63. Qxg4 Bxg4 64. a4 Nb7 65. Nb1 Na5 66. Be3 Nxc4 67. Bc1 Bd7 68. Nc3 c6 69. Kg1 cxd5 70. exd5 Bf5 71. Kf2 Nd6 72. Be3 Ne4+ 73. Nxe4 Bxe4 74. a5 bxa5 75. Bxc5+ Kd7 76. d6 Bf5 77. Ba3 Kc6 78. Ke1 Kd5 79. Kd2 Ke4 80. Bb2 Kf4 81. Bc1 Kg3 82. Ke2 a4 83. Kf1 Kxh4 84. Kf2 Kg4 85. Ba3 Bd7 86. Bc1 Kf5 87. Ke3 Ke6 Internet Chess Club (ICC) Software: Blitzin http://bit.ly/179O93N Discount Code: CHESSNETWORK I'm a self-taught National Master in chess out of Pennsylvania, USA who was introduced to the game by my father in 1988 at the age of 8. The purpose of this channel is to share my knowledge of chess to help others improve their game. I enjoy continuing to improve my understanding of this great game, albeit slowly. Consider subscribing here on YouTube for frequent content, and/or connecting via any or all of the below social medias. Your support is greatly appreciated. Take care, bye. :D β˜… LIVESTREAM http://twitch.tv/ChessNetwork β˜… FACEBOOK http://facebook.com/ChessNetwork β˜… TWITTER http://twitter.com/ChessNetwork β˜… GOOGLE+ http://google.com/+ChessNetwork β˜… PATREON https://www.patreon.com/ChessNetwork β˜… DONATE https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=QLV226E6FUUWG
Views: 823197 ChessNetwork
What is machine learning and how to learn it ?
 
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http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com
Views: 663720 Hitesh Choudhary
Play Video Games with Machine Learning
 
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Hello everyone! On this video you will see our Artificial Intelligence which plays Rayman! This AI is based on the Machine Learning technology. So our AI is able to learn from its mistakes and to improve itself. We make this project with the collaboration of Ubisoft. We are students in an IT Master degree school named EPITA in France. ======== You can play Rayman for free on your smartphone: IOS: https://itunes.apple.com/us/app/rayman-adventures/id1043589663?mt=8 Android: https://play.google.com/store/apps/details?id=com.ubisoft.raymanadventures&hl=en You can also play Rayman for free on your PC: https://club.ubi.com/#!/en-GB/ubi30
Views: 3163 FractaleGaming
Machine Learning and Human Bias
 
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As researchers and engineers, our goal is to make machine learning technology work for everyone.
Views: 457818 Google
πŸ–₯️ POSTMORTEM FOR MY FIRST MACHINE LEARNING GAME! (4/4)
 
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It's sad to depart from Forrest but all good things must come to an end. Today we take a look back at all of the shortcomings of this project to learn for the next Machine Learning project. PATREON: https://www.patreon.com/Jabrils SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science If you haven't yet watched part 3 here's the link: https://www.youtube.com/watch?v=GDy45vT1xlA Run Forrest! Official Release: https://gamejolt.com/games/runforrest/312818 Run Forrest! on Andriod: https://play.google.com/store/apps/details?id=com.SEFDStuff.RunForrest&hl=en Run Forrest! Open Source Version: https://github.com/SEFDStuff/Run-Forrest-FULL Table Of Contents ----- Coming soon, I'm in the middle of #GGJ2018 😜 Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #gamedev
Views: 102889 Jabrils
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | Edureka
 
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** Flat 20% Off (Use Code: YOUTUBE) Machine Learning Training with Python: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial: 1. AI vs Machine Learning vs Deep Learning 2. What is Artificial Intelligence? 3. Example of Artificial Intelligence 4. What is Machine Learning? 5. Example of Machine Learning 6. What is Deep Learning? 7. Example of Deep Learning 8. Machine Learning vs Deep Learning Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm Subscribe to our channel to get video updates. Hit the subscribe button above. #AIvsMLvsDL #PythonTutorial #PythonMachineLearning #PythonTraining How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, please write back to us at sales@edureka.co Call us at US: +18336900808 (Toll Free) or India: +918861301699 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
Views: 231840 edureka!
I am a legend: Hacking Hearthstone with machine learning - Defcon 22
 
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Recording of my Defcon 2014 talk on hacking hearthstone More info: https://www.elie.net/hs Slides: http://bit.ly/2ccotSX
Views: 147286 Elie Bursztein
Computer Vision and Machine Learning, by Nick Wong
 
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A basic introduction to some fundamental concepts in machine learning using Tensorflow, coupled with an introduction to OpenCV2, a computer vision project.
Views: 11752 CS50
MarI/O - Machine Learning for Video Games live neural network development
 
06:14:44
MarI/O - Machine Learning for Video Games live neural network development
Views: 38 Bruno Cavalcante

Top Tips of Pubg Quotes

You can construct your own life. Its really down to you which sort of world you would like to play in. When you grow up, you typically get told that the world is the manner that its. But we would like to give people the opportunity to experience this, and we also need people testing that map. The purpose of that story is to try to explain the reason why I think even the threat of violence isnt something which should be joked about. Confirm the opposite end of the power cable is wholly joined to the outlet. To answer these, Ill provide you a little background on each one of the games involved. There are a couple easy tactics to pinpoint the origin of the issue. We wish to do it, but were just limited by resources at this time. Your Internet service provider may have intermittent server difficulties. We would like to make sure that everybody plays on the servers which are best for them, but right now, we would like to concentrate on stabilising. The Little-Known Secrets to Pubg Quotes

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In case you have any questions regarding the website, please send an email to our support. The issue also can appear on flat-panel monitors that were bumped. Press the power button to turn off the monitor if it continues to occur. Replace the video cable if it continues. The idea itself isnt mine. For the time being, its a sobering notion to, in two clicks of a button, see recorded the best moment of a persons life, followed by whats possibly the worst. Its fair, to start out with. It will take a while to establish which game is taking the better approach. Because of the limited number of resources, were not able to accept everyone at this moment. Unfortunately, because of the uncertainty of exclusivity deals, it can be some time before that reality arrives to pass. To prevent cookies, its possible to either switch off cookies in your browser settings or opt not to pay a visit to Fragbite. The Quote Overview page provides you with a snapshot view for a certain symbol. Fortnites map might not be exactly 8km x 8km in dimension, but cursory tests suggest a much the same island size.

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