├── Chapter01 └── Chapter1 - Working with Tensors using PyTorch.ipynb ├── Chapter02 └── Chapter2 - Dealing with Neural Networks.ipynb ├── Chapter03 └── Chapter3 - Convolutional Neural Networks for Computer Vision.ipynb ├── Chapter04 └── Chapter4 - Natural Language Processing Solutions.ipynb ├── Chapter05 └── Chapter5 - Transfer Learning.ipynb ├── Chapter06 ├── Chapter6 - Exploring Generative Adversarial Networks-Part1.ipynb └── Chapter6 - Exploring Generative Adversarial Networks-Part2.ipynb ├── Chapter07 ├── Chapter7 - Deep Reinforcement Learning-DGA.ipynb ├── Chapter7 - Deep Reinforcement Learning-DQN.ipynb └── Chapter7 - Deep Reinforcement Learning.ipynb ├── Chapter08 ├── Chapter8 - Productionizing AI models in PyTorch-ONNX.ipynb ├── Chapter8 - Productionizing AI models in PyTorch-Torchscript.ipynb ├── Chapter8 - Productionizing AI models in PyTorch │ ├── .gitignore │ ├── idx_class.json │ ├── image_classifier.py │ └── imageapp.py ├── NewsClassification │ ├── test.csv │ ├── train.csv │ └── valid.csv └── README.md ├── LICENSE └── Readme.md /Chapter01/Chapter1 - 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