Back to Course Home

Module 2: Neural Network Fundamentals

Perceptrons, feedforward networks, and backpropagation

4-5 hours

🎯 Learning Objectives

Understand the mathematical foundations of neural networks
Implement backpropagation from scratch
Design and train feedforward networks
Analyze activation functions and their properties
Lecture Materials
Core concepts and mathematical foundations

The Perceptron Algorithm

Understanding the building block of neural networks.

30 min
Watch
Required Readings
Essential texts and research papers

Deep Learning Book - Chapter 6

Deep feedforward networks chapter.

45 min
Read
Code Examples & Notebooks
Implementation exercises

Backpropagation from Scratch

Implement backpropagation algorithm step by step.

Open in ColabCode
Additional Resources
Supplementary materials

Backpropagation Visualization

Interactive visualization of backpropagation.

View
Ready to continue your learning journey?Return to Course