Training from Cloud Storage with S5cmd

How to Train Using Millions of Small, Single Sample Files

In a typical deep learning training pipeline, data samples are iteratively loaded from a storage location and fed into the machine learning model. The model learns from these samples and updates its parameters accordingly. As a result, the speed of each training step and, by extension, the overall time to model convergence, is directly impacted by the speed at which the data samples can …

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