Neural Networks and Backpropagation: Part One

Lately I’ve been implementing my own neural network code base.  I’ve had a play around with some of the common libraries such as Lasagne and TensorFlow and while these libraries are great, it is important to understand the content itself.  Firstly is the thorough understanding of what exactly the network is doing; which in my opinion is certainly worth […]