Deep Learning

by Syed Zain Raza

Neural Networks from Scratch

Weights, activations, forward pass, and backpropagation explained from first principles.

Convolutional Neural Networks

How convolutions, pooling, and feature maps learn to see.

Recurrent Networks and LSTMs

Sequence modeling, vanishing gradients, and how LSTMs learned to remember.

Transformers and Attention

The architecture behind every major language model today.