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Pytorch Basics Part2 - DataSets, DataLoaders and Transforms
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This is a basic DataSet Tutorial for Pytorch.
We need to be able to deal with multiple famous datasets as well as create our own datasets. Torchvision provides multiple functions for dealing with datasets, Namely
- Create the Dataset
- Transform the Data as we download
- Create DataLoader, an iterable for getting a batch of data needed for training and testing.
In this tutorial, you will learn how to deal with basic Pytorch datasets.
We need to be able to deal with multiple famous datasets as well as create our own datasets. Torchvision provides multiple functions for dealing with datasets, Namely
- Create the Dataset
- Transform the Data as we download
- Create DataLoader, an iterable for getting a batch of data needed for training and testing.
In this tutorial, you will learn how to deal with basic Pytorch datasets.
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