Training image classifiers

Level 3: CNNs for vision

Coming soon

This page is being written. See the full roadmap for the whole syllabus.

What this chapter will cover

• Datasets and dataloaders for images
• normalization
• data augmentation (geometric, color, Cutout, Mixup, CutMix, RandAugment)
• label smoothing
• learning-rate schedules
• mixed precision
• test-time augmentation
• reading training curves