An implementation of a neural network in C++

1. Becoming familiar with C++ (prior to this project I was familiar with C)
2. Learn about neural networks and how they are optimized
3. Learn about the AVX

• Common activation layers (Sigmoid, ReLU, Tanh)
• Several AVX accelerated operations (Shur/Hadamard product, Vector addition)

• This was my first time implementing a neural network
• The implementation of gradient descent is hacky at best, broken at worst