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