Neural networks basics

This repository includes some code implemented during the winter semester 2018.

This includes:

• Basics of linear algebra in python
• [Backpropagation]:
  • From scratch
  • Neural Network Framework Example - based on MNIST
• Simple MNIST Network
• Softmax Classifier