A simple MLP (Multi-Layer Percepetron) framework built in Java with no external libraries.
Implements rudimentary single sample SGD (Stochastic Gradient Descent) with backpropagation.
This framework was tested to create an MLP for the MNIST project, where it attained 81.68% accuracy.
Unintelligible images of "plan of action":