Batch size is crucial in deep learning because it influences training speed, memory usage, and model convergence. Smaller batches can lead to better generalization, while larger batches speed up computation…
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#batch size
Can you explain the importance of batch size when training a deep learning model and how it affects performance and optimization?
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