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An adaptive algorithm for gradient-based optimization of stochastic objective functions, often used to train deep neural networks.

12 votes

How does batch size affect Adam Optimizer?

Yes, batch size affects Adam optimizer. Common batch sizes 16, 32, and 64 can be used. Results show that there is a sweet spot for batch size, where a model performs best. …
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