Neural Networks in C++

Neural networks in C++, using the Eigen 3 template library for linear algebra.

Implemented so far:

Dense layers with ReLU or Softmax activation.
Dropout layers.
Neural net that can be initialized with an arbitrary number of layers.
SGD optimizer with momentum.
Preprocessing and evaluation utilities.
main.cpp is currently hardcoded to train and validate a two layer net on wine.data from https://archive.ics.uci.edu/ml/datasets/wine.
tests.cpp checks the implementation of layers, neural networks, and utilities.