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MLDS2018SPRING

CommE 5045, Machine Learning and Having It Deep and Structured, 2018 Spring, National Taiwan University (NTU)

  • HW1: Several experiments on deep learning, including topics: deep vs shallow, optimization, and generalization.
  • HW2: Sequence-to-sequence model, including two tasks: Video Captioning (hw2-1) and Chatbot (hw2-2).
  • HW3: Generative Adversarial Network (GAN), including GAN and several tips implementation(hw3-1) and conditional GAN (hw3-2).
  • HW4: Deep reinforcement learning, including Policy Gradient (hw4-1) and Deep Q Network (hw4-2).

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CommE 5045, Machine Learning and Having It Deep and Structured, 2018 Spring, National Taiwan University (NTU)

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