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What is batch size machine learning?
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Answer / Sachin Vishnoi
Batch size refers to the number of training examples that are processed together in a single iteration (or 'batch') during training. A larger batch size can improve computational efficiency, but may also lead to less accurate results due to reduced gradient noise.
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