Asked about Batch size, schedules and regularisation in practice

How does batch size relate to learning rate?

An answer that works

Larger batches give less noisy gradients, which tolerate a larger learning rate, so the two are often scaled together. Changing one alone can destabilise or slow training.

Reading an answer is not being able to give one. The section that teaches this is Batch size, schedules and regularisation in practice, 4 hours of Backpropagation.

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