A simple implementation of a neural network built from scratch in Python to explore the core mechanics of deep learning without using ML frameworks. This project implements the fundamental components ...

A good place to start is defining the API for our network resource. We start by creating an example network request and use it to scaffold the API definition. We can use the example from the existing ...

You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...