# deeplearning.ai-pytorch

**Repository Path**: jfttpt/deeplearning.ai-pytorch

## Basic Information

- **Project Name**: deeplearning.ai-pytorch
- **Description**: PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2019-10-15
- **Last Updated**: 2021-08-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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 <b>PyTorch 0.4+</b> to run them locally.<br>


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