Basic backpropagation neural network with several features such as
- ReLu, Sigmoid, and Softmax
- Mean Squared Error and Cross Entropy Loss functions
- Convolution layer (that still needs optimization as of writing this)
Other:
- XOR Solver with Sigmoid + Softmax
- MNIST implementation in PyTorch aswell