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#PyTorch improved their tutorials page to make learning PyTorch easier for developers. The page includes an updated “60-minute blitz” for newcomers to get a broad understanding of how to use PyTorch to construct deep neural networks. Additional categories, a new recipe format for quickly referencing common topics, and sorting using tags make it simple to continue teaching yourself at any skill level. Start learning now: https://bit.ly/2yHprlr | Meta for Developers

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A lot of effort in solving any machine learning problem goes in to preparing the data. PyTorch provides many tools to make data loading easy and hopefully, to make your code more readable. In this tutorial, we will see how to load and preprocess/augment data from a non trivial dataset. To run this tutorial, please make sure the following packages are installed: 1-scikit-image: For image io and transforms 2-pandas: For easier csv parsing link here:https://pytorch.org/tutorials/beginner/data_loadi

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