Arduino Basics

The Neuron The main purpose of the Neuron is to store the values that flow through the neural network. They also do a bit of processing through the use of an Activation function. The activation function is quite an important feature of the neural network. It essentially enables the neuron to make decisions (yes/no and greyzone) based on the values provided to them. The other feature of activation functions is the ability to map values of infinite size to a range of 0 to 1. We will be using the Sigmoid function . The above pictures can be found at Wikipedia The neuron accumulates signals from one or more connections, adds a bias value, and then sends this value through the activation function to produce a neuron output. Each neuron output will be within the range of 0 to 1 (due to the activation function). So lets take a look at  a single neuron with 2 connections (+ bias) feeding into it. As seen below. connEntry      ...