Size of Mini-Batch in deep learning

10 次查看(过去 30 天)
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

采纳的回答

bharath pro
bharath pro 2020-7-3
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.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Deep Learning Toolbox 的更多信息

产品


版本

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by