AI learns to play snake using Genetic Algorithm and Deep learning

Описание

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/

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Why There Are No Bluish-Yellow Crayons: The Forbidden Color Experiment

Why There Are No Bluish-Yellow Crayons: The Forbidden Color Experiment

Follow me on: Twitter: https://twitter.com/theactionlabman Facebook: https://www.facebook.com/theactionlabrat Get your subscription box here: https://www.theactionlab.com In this video I see if you can see this forbidden color! I explain what a forbidden color is and then I actually show you that you cannot see it in a real experiment. I talk about why bluish yellow and reddish green is a color that no one can see. Then I show you a way that you may be able to see a new color that you have never before realized. Most people cannot see this color. WARNING: If you use the information from this video for your own projects then you assume complete responsibility for the results. My Other Channel: https://www.youtube.com/channel/UCA19mAJURyYHbJzhfpqhpCA For more awesome videos checkout: What Does a 4D Ball Look Like in Real Life? Amazing Experiment Shows Spherical Version of Tesseract https://www.youtube.com/watch?v=_4ruHJFsb4g How I Made an Ant Think It Was Dead—The Zombie Ant Experiment https://www.youtube.com/watch?v=ZPw9dSV6y2c What Happens if You Open a Vacuum Chamber Under Water? And Do Vacuums Float? https://www.youtube.com/watch?v=VugR1WdAOQw Can Light be Black? Mind-Blowing Dark Light Experiments! https://www.youtube.com/watch?v=p-OCfiglZRQ GOLD Mirror-Polished Japanese Foil Ball Challenge in a Vacuum Chamber! https://www.youtube.com/watch?v=5Blt_CJ29WQ Mirror-Polished Japanese Foil Ball Challenge Crushed in a Hydraulic Press-What's Inside? https://www.youtube.com/watch?v=oJ2faqXlU1s Mixing the World's Blackest Paint With the World's Brightest Paint (Black 2.0 vs LIT) https://youtu.be/x5L4_GXePuk Is it Possible to Unboil an Egg? The Amazing Uncooking Experiment! https://youtu.be/QNV4gHWZ9p4 What if You Try To Lift a Negative Mass? Mind-Blowing Physical Impossibility! https://www.youtube.com/watch?v=uAJlg8MDAlU What Does a Giant Monster Neodymium Magnet do to a Mouse? https://www.youtube.com/watch?v=V8-JfSXPDp0 The Worlds Blackest Black vs The Worlds Brightest Flashlight (32,000 lumen)—Which Will Win? https://www.youtube.com/watch?v=AaFdCvnV8PM How Much Weight Can a Fly Actually Lift? Experiment—I Lassoed a Fly! https://www.youtube.com/watch?v=-xZoOUd172Q If You Fly a Drone in a Car, Does it Move With It? (Dangerous In-Car Flight Challenge) https://youtu.be/XjTj-tGPSWE Can Flies Actually Fly in a Vacuum Chamber? https://www.youtube.com/watch?v=C4h-AS729JM I Let a Venus Flytrap Digest My Finger For a Day–Little Shop of Horrors Challenge! https://www.youtube.com/watch?v=tPLuWcOGBCE Drawing On Water-It is So Surreal! https://youtu.be/3NZ-cAf8Bbw

2 месяцев назад
How algorithms evolve (Genetic Algorithms)

How algorithms evolve (Genetic Algorithms)

So, here's the deal: this video was made in collaboration with a bunch of other cool content creators who all wanted to talk about evolution. Check out their work here: https://www.youtube.com/watch?v=ehuEaLvA1B4&list=PLnQX-jgAF5pQVXOaTu7BSB6AMjtbnS3b_ Outside of that, thanks so much for watching / let me know what you think! I honestly feel that the chalkboard segments might be a little rushed near the end there. I just got a new tablet, so I could start using that for the animations instead of the blackboard, but I'm interested in your opinions! The music came from Josh Woodward (sped up 1.5 times): https://www.joshwoodward.com/ Please feel free to follow me on Twitter: https://twitter.com/LeiosOS Twitch (where I do all the simulations): https://www.twitch.tv/simuleios or Github: https://github.com/leios The code I used is available here: https://github.com/leios/simuleios/blob/master/GA/salesman.cpp (sorry it's so messy). or Github: https://github.com/leios The code I used is available here: https://github.com/leios/simuleios/blob/master/GA/salesman.cpp (sorry it's so messy) Also, discord: https://discord.gg/Pr2E9S6

2 лет назад
Mathematics of Machine Learning

Mathematics of Machine Learning

Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, calculus, and statistics. I'm going to cover how each are used by going through a linear regression problem that predicts the price of an apartment in NYC based on its price per square foot. Then we'll switch over to a logistic regression model to change it up a bit. This will be a hands-on way to see how each of these disciplines are used in the field. Code for this video (with coding challenge): https://github.com/llSourcell/math_of_machine_learning 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 Sign up for the next course at The School of AI: http://theschool.ai/ More learning resources: https://towardsdatascience.com/the-mathematics-of-machine-learning-894f046c568 https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/ https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning https://courses.washington.edu/css490/2012.Winter/lecture_slides/02_math_essentials.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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

8 месяцев назад
The Rodent Tier List (Feat. RealLifeLore)

The Rodent Tier List (Feat. RealLifeLore)

Build your website with Squarespace for 10% off at http://squarespace.com/tierzoo Squirrels Destroying Power Grids: https://www.youtube.com/watch?v=CS4a2-guBQQ&feature=youtu.be I made merch! Check it out here at https://standard.tv/collections/tierzoo

3 месяцев назад
Why Deep Learning Now? | AI Revolution Documentary

Why Deep Learning Now? | AI Revolution Documentary

Learn more: https://developer.movidius.com/ https://software.intel.com/en-us/ai-academy https://www.youtube.com/user/intelswnetwork Subscribe here: https://goo.gl/9FS8uF Become a Patron!: https://www.patreon.com/ColdFusion_TV CF Bitcoin address: 13SjyCXPB9o3iN4LitYQ2wYKeqYTShPub8 Hi, welcome to ColdFusion (formerly known as ColdfusTion). Experience the cutting edge of the world around us in a fun relaxed atmosphere. Sources: https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/ http://usblogs.pwc.com/emerging-technology/top-10-ai-tech-trends-for-2018/ https://medium.com/nurture-ai/keeping-up-with-the-gans-66e89343b46 Dancing AI: https://youtu.be/PCBTZh41Ris https://arxiv.org/abs/1808.07371 Wifi signal mapping: http://rfpose.csail.mit.edu/ Motion transfer Animals in video games: http://homepages.inf.ed.ac.uk/tkomura/dog.pdf Neural Network Arm: https://www.youtube.com/watch?v=txHQoYKaSUk http://vpg.cs.princeton.edu/ Nvidia super slow motion: https://people.cs.umass.edu/~hzjiang//projects/superslomo/ https://www.youtube.com/watch?v=MjViy6kyiqs Shout out to 2 minute papers who covers the latest in AI research. Check him out here: https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg //Soundtrack// **coming soon** » ColdFusion Book "New Thinking" | https://newthinkingbook.squarespace.com/about/ » Facebook | https://www.facebook.com/ColdFusionTV » My music | http://burnwater.bandcamp.com or » http://www.soundcloud.com/burnwater » https://www.patreon.com/ColdFusion_TV » Collection of music used in videos: https://www.youtube.com/watch?v=YOrJJKW31OA Producer: Dagogo Altraide » Twitter | @ColdFusion_TV

3 недель назад
Hello World - Machine Learning Recipes #1

Hello World - Machine Learning Recipes #1

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

3 лет назад
AI learns to play PACMAN || Part 1 the making of Pacman

AI learns to play PACMAN || Part 1 the making of Pacman

Hey guys this is how I made my clone of pacman Check out the source code at https://github.com/Code-Bullet/PacmanGame It would be awesome if you could join me on Patreon https://www.patreon.com/CodeBullet I hope you enjoy

9 месяцев назад
The Smartest Creation! - Evolution - Evolving A Neural Brain! - Evolution Simulator

The Smartest Creation! - Evolution - Evolving A Neural Brain! - Evolution Simulator

The Smartest Creation! - Evolution - Evolving A Neural Brain! - Evolution Simulator 😃 𝗦𝗨𝗕𝗦𝗖𝗥𝗜𝗕𝗘 ► http://bit.ly/SUB2ANTHOMNIA | ★ PREVIOUS EP! ► https://www.youtube.com/watch?v=rFByyGCoPV4 https://www.youtube.com/watch?v=rFByyGCoPV4 TURN ON NOTIFICATIONS BY CLICKING THE “BELL” BUTTON AFTER SUBSCRIBING! Looking for A Server hosting service!? You should check out Nitrado in that case. They currently host all servers i have for Subscribers and it's the only service i'll use xD You can check them out here: https://nitra.do/Anthomnia — MORE ARK SURVIVAL EVOLVED VIDEOS! — ARK 500 Giganotosaurus VS 100 Indominus Rex - https://youtu.be/U6lyqcEh2Xk Totally Accurate Battle Simulator - https://youtu.be/xHUW8a5g2zw ARK Survival Evolved 80 Badass Spinosaurus - https://youtu.be/sfmE69cR-HU 20 TITANOSAUR VS 100 GIGANOTOSAURUS - https://youtu.be/bpb5dASXwx0 500 T REX VS TITANOSAUR, ALPHA REX VS TITANOSAUR - https://youtu.be/7d1JbcCL8qM GENESIS GOD OBLIVION VS LEVEL 30M DRAGON GOD & INDOMINUS - https://youtu.be/G2CILRT1vrU — FOLLOW ME ON SOCIAL MEDIA — » Twitter ➜ https://twitter.com/AnthomniaGAME » Facebook ➜ https://www.facebook.com/Anthomnia Outro music: http://londonabove.bandcamp.com

6 месяцев назад
Agar.io - a fascinating bot

Agar.io - a fascinating bot

An agar.io bot at its best. It usually does not work that well. If you are interested in downloading the Bot: https://github.com/Apostolique/Agar.io-bot This was recorded live at http://www.twitch.tv/brunnernathan Here are some lazzy tags: agar.io, agario, bot, hack, gameplay

3 лет назад
MarI/O - Machine Learning for Video Games

MarI/O - Machine Learning for Video Games

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

3 лет назад
Pathfinding Algorithms

Pathfinding Algorithms

http://dperrysvendsen.wordpress.com/2014/12/05/pathfinding-algorithms/ This program was originally built to demonstrate the relative efficiency of different pathfinding algorithms in finding the shortest path between two points on a map. Three algorithms are built in: • Breadth-first search, an algorithm traditionally used to navigate small, enclosed areas. • Best-first search, an algorithm generally better suited to more open environments with fewer obstacles. • A* search, a somewhat more complex algorithm designed to intelligently dodge obstacles. To represent the map, the program uses a grid of nodes, in which each node has up to four traversable edges: up, down, left and right. One node is designated the root node, and another the target node. In addition, a node can be marked as impassable, effectively creating an obstacle around which an algorithm must navigate. In order to generate a path, each algorithm utilises an open set, a collection of nodes representing the boundary of an increasing search area. The algorithm gradually expands the search area by evaluating one node at a time from its open set. Evaluating a node involves first checking if it is the target node – if this is the case, a path has been found and the algorithm terminates. Failing this, the node is removed from the open set and marked as visited so that is will not be re-added (this prevents the algorithm from generating loops). Finally, each of the nodes immediate unvisited neighbours are added to the open set. Crucially, for each of these neighbouring nodes, the current node is marked as their predecessor. This search area continues to expand until either it reaches the target node (meaning a path was been found), or there are no new nodes to evaluate (meaning no path was found). If a path is found, it is then reconstructed based on the predecessor of each node, starting from the target node, and continuing until the root node is reached. The difference between each algorithm lies in how they decide the order in which the Nodes in the open set are evaluated. • Breadth-first search uses a Queue, which functions much like a real-world queue in ensuring that Nodes are evaluated in the same order they were added. • Best-first search uses a List, assigning each Node a heuristic value based on its estimated distance from the target node, not taking into account any obstacles. This value is simply the rectilinear distance, or the sum of the horizontal and vertical offsets, between the two points. The Node with the lowest heuristic value is then chosen to be evaluated. • A* search also uses a List, and also assigns each Node a heuristic value. However, it adds this heuristic value to the cumulative cost (the path length) to generate the Node’s f-score. The Node with the lowest f-score is then chosen to be evaluated.

4 лет назад
How Machines Learn

How Machines Learn

How do all the algorithms around us learn to do their jobs? Bot Wallpapers on Patreon: https://www.patreon.com/posts/15959388 Discuss this video: https://www.reddit.com/r/CGPGrey/comments/7klmd3/how_do_machines_learn/ Footnote: https://www.youtube.com/watch?v=wvWpdrfoEv0 Podcasts: https://www.youtube.com/user/HelloInternetPodcast https://www.youtube.com/channel/UCqoy014xOu7ICwgLWHd9BzQ Thank you to my supporters on Patreon: James Bissonette, James Gill, Cas Eliëns, Jeremy Banks, Thomas J Miller Jr MD, Jaclyn Cauley, David F Watson, Jay Edwards, Tianyu Ge, Michael Cao, Caron Hideg, Andrea Di Biagio, Andrey Chursin, Christopher Anthony, Richard Comish, Stephen W. Carson, JoJo Chehebar, Mark Govea, John Buchan, Donal Botkin, Bob Kunz https://www.patreon.com/cgpgrey How neural networks really work with the real linear algebra: https://www.youtube.com/watch?v=aircAruvnKk Music by: http://www.davidreesmusic.com

11 месяцев назад
Deep Learning Cars

Deep Learning Cars

A small 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms. Interested in how Neural Networks work? Have a look at my one-minute-explanation: https://www.youtube.com/watch?v=rEDzUT3ymw4 This simulation was implemented in Unity. You can find detailed information about how this simulation works, as well as a link to the entire source code on my website: https://arztsamuel.github.io/en/projects/unity/deepCars/deepCars.html Don't miss any future videos, by subscribing to my channel. Follow me on Twitter: https://twitter.com/SamuelArzt

2 лет назад