Convolutional Neural Networks for Images

introduce computer vision through small, understandable models.

Units

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

Module work

• Activity
• Knowledge check
• Summary