Module 4 – Convolutional Neural Networks (CNNs)
What you'll learn
Builds on Modules 1–3
≈6 h · 2 h video · 2 h reading · 2 h coding
- Show MLP spatial limits (shifted inputs) vs a simple CNN
- Implement convolutional layers and train a small CNN
- Apply augmentation and dropout; run a brief augmentation ablation
Lecture 4 – Convolutional Neural Networks (CNNs)
DL4.2 – Coding up your first CNN
📚 Resources & Lecture Code
Required reading · course book
The Colab notebook includes the lecture code for Module 4 (CNNs and a first PyTorch CNN). Use it to reproduce the code demos from lecture.