Biology, asked by yatiawasthi1109, 1 year ago

increasing batch size lead to low processing time neural net

Answers

Answered by Anonymous
0

Explanation:

We have found that increasing the batch size progressively reduces the range of learning rates ... by trying to induce more data parallelism to reduce training time on today's hard

Answered by missShelly
0

Smaller batch sizes are used for two main reasons: Smaller batch sizes are noisy, offering a regularizing effect and lower generalization error. Smaller batch sizes make it easier to fit one batch worth of training data in memory (i.e. when using a GPU)

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