Neural Network written from scratch in C++ with unit testing (using google test). Currently supports:

• Creating and training a feedforward neural network with SGD using the MSE as the loss

Future roadmap:

• Add functionality for easily handling and training on data 🔘
• Add more activation functions
• Add more loss functions
• Optimize code, including getting it to work on GPU's
• Different optimizers (eg. SGD with momentum, Adam, etc.)
• Different layer types (eg. convolutional)
• Examples that use the library