Neural Network Basics

Build your intuition for deep learning from scratch. Understand layers, activations, and why depth enables hierarchical feature learning.

Learning Objectives

• →Describe a feedforward network architecture
• →Implement ReLU, sigmoid, and tanh activations
• →Compute forward pass manually
• →Understand weight initialization

Practice