Neural Network Foundations

Implement common activation functions: Sigmoid, Tanh, and ReLU.

Implement weight initialization strategies, including random and Xavier/He initialization.

Implement the forward propagation algorithm for a multi-layer perceptron (MLP) with batch processing.

Implement dropout as a regularization technique during the forward pass.