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Free computer vision course

Computer Vision and Multimodal AI

Module 06

CNN Intuition and Transfer Learning

By the end of this module you can explain what a convolutional network learns layer by layer, and use transfer learning to get a working classifier from a small dataset without pretending you trained it from scratch.

Units

  1. Unit 06.00: What a convolution actually does to a patch
  2. Unit 06.01: Why transfer learning works, and when it does not
  3. Unit 06.02: Freezing, unfreezing and the learning rate
  4. Unit 06.03: Preprocessing that must match the pretrained model
  5. Unit 06.04: A baseline you must beat before any of this

Module work