Few-shot Learning (video course)

  • Lesson 2.5 » Beyond MAML with MAML++, instability in MAML, multi-step loss
  • Lesson 2.4 » MAML: Model-Agnostic Meta-Learning, step-by-step algorithm code
  • Lesson 2.3 » Relation networks: relating objects, intuition, algorithm, code
  • Lesson 2.2 » Prototypical networks: intuition, algorithm, pytorch code
  • Lesson 2.1 » Transfer learning: setup, Baseline, Baseline++, pros and cons
  • Lesson 2.0 » Literature review: MAML, ProtoNets, RelationNets, etc
  • Lesson 1.1 » Most common datasets: Omniglot, CUB, mini-ImageNet
  • Lesson 1.0 » Introduction, definition of the problem, terminology

Open Source Projects

  • Deepgaze » Computer Vision library for Human-Computer interaction

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