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What Is the Effect of Batch Size on Model Learning?
May 2, 2022, 2:54 p.m. | Mohit Varikuti
Towards AI - Medium pub.towardsai.net
And why does it matter
Batch Size is one of the most crucial hyperparameters in Machine Learning. It is the hyperparameter that specifies how many samples must be processed before the internal model parameters are updated. It might be one of the most important measures in ensuring that your models perform at their best. It should come as no surprise that a lot of research has been done on how different Batch Sizes influence different parts of your ML workflows. …
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