Introduction to Neural Networks for Beginners

Understand how neural networks learn from data.

Perceptrons to Deep Networks

Start with the simplest unit and build up to multi-layer architectures.

Forward & Backward Pass

See how data flows forward and gradients flow backward during training.

Activation Functions

Compare ReLU, sigmoid, and softmax for different layer types.

Training Loop Basics

Understand epochs, batches, loss functions, and optimizers.