Module 2 · Computer Vision with Deep Learning

Image Classification with CNNs: lessons

Building a CNN in PyTorch, transfer learning from pretrained models, and evaluating a classifier honestly.

3 lessons · 56 min

What this module teaches, what it asks of you first and how you practise it are on its syllabus page.

Building a CNN in PyTorch
22 min
Conv2d, pooling and a classification head — from scratch to trained.
Included with the track Simulation inside
Transfer Learning with Pretrained Backbones
18 min
Freezing, fine-tuning, and different learning rates per layer.
Included with the track Simulation inside
Evaluating Image Classifiers
16 min
Confusion matrices, imbalanced classes, and looking at the mistakes.
Included with the track Simulation inside

Building a CNN in PyTorch