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Labs and assignments for course Deep Learning 2023 Spring at NYCU.

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nycu-dlp-2023-spring

There are still some unresolved bugs.

  • Lab 1: back-propagation.
    • Back-propagation part is implemented exclusively for settings with 2 hidden layers. Not too hard to generalize to arbitrary hidden layers.
  • Lab 2: Temporal Difference Learning.
  • Lab 3: EEG classification.
  • Lab 4: Diabetic Retinopathy Detection.
  • Lab 5: Conditional VAE For Video Prediction.
  • Assignment 1: Prove DDPM.
  • Lab 6: DQN and DDPG.
    • BreakoutNoFrameskip-v4 is NOT correctly implemented.
  • Lab 7: Let’s Play DDPM.
    • There are some unresolved bugs in the DDPM model.

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