Understanding Backpropagation Neural Networks: How They Learn to Count 🤖

Heres a small backpropagation neural network that counts and an example and an explanation for how it works, how it learns. A neural network is a tool in artificial intelligence that learns how to do things instead of be hand-coded. Recently its been popularized with Googles deep dreaming neural network and Deepminds AlphaGo beating world champion Lee Sedol at the game of go.\r<br>\r<br>My webpage with all the demo, neural network source code, and so on that I talked about is at:\r<br>\r<br>\r<br>This video was made possible in part by support from:\r<br>Jonathan Rieke\r<br>James Padden\r<br>\r<br>Support RimstarOrg on Patreon \r<br>or make a one-time donation at \r<br>\r<br>Subscribe so that you dont miss new videos as they come out \r<br>\r<br>Go to the main channel page here \r<br>\r<br>See also:\r<br>\r<br>Does Volts or Amps Kill You? Voltage, Current and Resistance\r<br>\r<br>\r<br>How a Rocket Works/Earth to Space Eg SpaceX Falcon 9 and Dragon\r<br>\r<br>\r<br>How a Crystal Radio Works\r<br>\r<br>\r<br>Follow behind-the-scenes on:\r<br>Twitter \r<br>Google+ \r<br>Facebook \r<br>\r<br>\r<br>\r<br>The Deep dream images were made using the Deep Dream Generator at:\r<br>\r<br>\r<br>The brain image was extred from an animated GIF by Doctor Jana \r<br>