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.
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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