Implement a simple neural network in C# .NET — Part 2
Sep 8, 2018 · 3 min read
This post is in continuation to the Implement a simple neural network in C# .NET series, wherein Part I, we discussed how to define a simple neuron, link with other neurons and build a complex network. We are going to conclude by adding functionality to train the network which will learn from the input data and update its weight until it achieves a certain accuracy. We will use the AND gate data for the testing, please refer to the previous blog Function of the neuronto get more details of what we are trying to achieve here.

