In this video, we will be learning what the Dataset class and DataLoader are in PyTorch.

For the Dataset class, we will see the three functions that we have to define which are the init, len and the getitem function. We will be learning what are the roles of these three functions and also see the practical implementation of the concept in PyTorch in colab.

For the DataLoader function, we will study the different parameters and also see the a practical implementation in PyTorch in colab. We will learn what the batch_size parameter means and others like the shuffle parameter, num_workers and the pin_memory parameters.

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