A simple modular implementation of Multi Layer Perceptron in pure Numpy. I used the Iris dataset from scikit-learn library for the experiments.

• Fully modular and configurable
• Different learning rates can be used for different layers and iterations. (Dynamic learning rate)
• Pure numpy with no additional dependecies
• Supports Linear, Softmax, Sigmoid, TanH, and ReLU activations