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Algorithm Researcher explains how Pytorch Datasets and DataLoaders work
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This video presents an overview and animation of how the Pytorch Datasets and Dataloaders work. It illustrates the inner workings of these classes, to provide a working model of what is happening "under the hood".
Deep learning model require large amounts of data in order to reach super-human performance. Loading and pre-processing these large amounts of data requires specialized algorithms, to do so in a computationally efficient manner. The Pytorch Dataset and DataLoader classes which are discussed in this video, automate these processes, using easy-to-use interface.
Deep learning model require large amounts of data in order to reach super-human performance. Loading and pre-processing these large amounts of data requires specialized algorithms, to do so in a computationally efficient manner. The Pytorch Dataset and DataLoader classes which are discussed in this video, automate these processes, using easy-to-use interface.
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