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.
Make a robot friend with Adafruit’s CRICKIT – A Creative Robotics & Interactive Construction Kit. It’s an add-on to our popular Circuit Playground Express, FEATHER and other platforms to make and program robots with CircuitPython, MakeCode, and Arduino. Start controlling motors, servos, solenoids. You also get signal pins, capacitive touch sensors, a NeoPixel driver and amplified speaker output. It complements & extends your boards so you can still use all the goodies on the microcontroller, now you have a robotics playground as well.