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PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

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deeplearning.ai in PyTorch

PyTorch implementations of some assignments which were originally given in tensorflow and/or Keras. I might try to implement other assignments in the future as well. I generally discard numpy notebooks since they are lower level and I don't think it would be useful to implement them in PyTorch.

  • You need PyTorch 0.4+ to run them locally.

  • Course 4 - Convolutional Neural Networks
    • Week 1
      • Convolution model - Application ✔
    • Week 2
      • KerasTutorial ✔
      • ResNets ✔
    • Week 4
      • Face Recognition ✔
      • Neural Style Transfer ✔
  • Course 5 - Sequence Models
    • Week 1
      • Dinosaur Island -- Character-level language model ✔
    • Week 2
      • Emojify
        • 1 - Baseline model: Emojifier-V1 ✔

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PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

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