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.