Size of Mini-Batch in deep learning
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Hi,
I am trying to train some deep learning models and trying to set up good value for the Mini-Batch. As you may know, the value of the Mini-Batch should be between 1 and M where M is the size of the batch.
My question is, once I extracted some training features and prepare the data for training. How can I tell the size of my batch so I can set the Mini-Batch?
Thanks
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Accepted Answer
bharath pro
on 3 Jul 2020
As per the docs, the "mini-batch is a subset of the training set that is used to evaluate the gradient of the loss function and update the weights". So the batch size would be the entire training set.
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