Dataset and DataLoader are the two main components in PyTorch for loading and processing data. Dataset is used to extract and load data from data sources, and DataLoader is used to convert data into a format suitable for machine learning model training.
What are dataset and dataloader in pytorch
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Origin blog.csdn.net/weixin_35750747/article/details/129546819
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