Size of Mini-Batch in deep learning

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

Answer 1

[bharath pro]

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.