URL details: teddykoker.com/2020/12/dataloader/

URL title: DataLoaders Explained: Building a Multi-Process Data Loader from Scratch | Teddy Koker
URL description: When training a Deep Learning model, one must often read and pre-process data before it can be passed through the model. Depending on the data source and transformations needed, this step can amount to a non-negligable amount of time, which leads to unecessarily longer training times. This bottleneck is often remedied using a torch.utils.data.DataLoader for PyTorch, or a tf.data.Dataset for Tensorflow. These structures leverage parallel processing and pre-fetching in order reduce data loading time as much a
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2021-06-30
DataLoaders Explained: Building a Multi-Process Data Loader from...