What is a DataLoader in PyTorch?
An example of an AI chatbot conversation about using DataLoader in PyTorch.
What is a DataLoader in PyTorch?
A DataLoader in PyTorch is a utility that helps load datasets in batches, making it easier to train models.
How do I create a DataLoader for my dataset?
You can create a DataLoader by using the torch.utils.data.DataLoader class, passing your dataset and batch size.
Can I shuffle the data while loading?
Yes, you can set the shuffle parameter to True when creating the DataLoader to shuffle the data.
What if I have a custom dataset?
You can create a custom dataset by subclassing torch.utils.data.Dataset and implementing the required methods.
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