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deeplearning.ai in PyTorch

PyTorch implementations of some assignments which were originally given in tensorflow and/or Keras. I will try to edit the original code for PyTorch 0.4 so that it is compatible with PyTorch 2.0.1.


  • Course 4 - Convolutional Neural Networks
    • Week 1
      • Convolution model - Application: simplified the homewordk .ipynb code as well as cnn_utils.py to make them more readable.
    • 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&V2: added pytorch implementation of LSTM Emojify V2.

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

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  • Jupyter Notebook 98.2%
  • Python 1.8%