Convolutional Neural Networks for Images

introduce computer vision through small, understandable models.

Units

1. Unit 06.00: Why images need spatial structure
2. Unit 06.01: Channels, filters, feature maps, stride, and padding
3. Unit 06.02: Convolution, pooling, flattening, and classifier heads
4. Unit 06.03: Data augmentation and image normalization
5. Unit 06.04: Evaluating image classification
6. Unit 06.05: Error analysis for image models
7. Unit 06.06: Project step: small CNN image classifier

Module work

• Activity
• Knowledge check
• Summary