0

Backward Propagation of Errors for Neural Networks Explained #Backpropagation

backpropogation

Rimstar explains the backpropagation algorithm used in neural networks:

Neural networks are a way of doing machine intelligence that is based roughly on how the brain works. The human brain has around 86,000,000,000 neurons, a type of cell, all connected in various ways with roughly 1.5×10^14 connections between them. Below you can see a diagram of a few connected neurons and what that would look like in an artificial neural network used in a computer.

Here’s 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 it’s been popularized with Google’s deep dreaming neural network and Deepmind’s AlphaGo beating world champion Lee Sedol at the game of go.


Join 4,000+ makers on Adafruit’s Discord channels and be part of the community! http://adafru.it/discord

Learn “How Computers Work” with Bill Gates, Ladyada and more – From Code.org !

CircuitPython in 2018 – Python on Microcontrollers is here!

Have an amazing project to share? Join the SHOW-AND-TELL every Wednesday night at 7:30pm ET on Google+ Hangouts.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Follow Adafruit on Instagram for top secret new products, behinds the scenes and more https://www.instagram.com/adafruit/


Maker Business — Pololu’s New Machines

Wearables — Mystical elements

Electronics — Disable unused channels!

Biohacking — Two Blood Meters to Start Your Biohacking Adventure

Get the only spam-free daily newsletter about wearables, running a "maker business", electronic tips and more! Subscribe at AdafruitDaily.com !



No Comments

No comments yet.

Sorry, the comment form is closed at this time.