MATLAB: NN Training Data

Deep Learning Toolboxneural networknn training data size

What is ideal combination of training vs test data in neural network based technique in context of images. Can we have training data 10 times test data?

Best Answer

The optimal ratio for training, validation and testing depends on the data.

The MATLAB default is 70/15/15

The default split for 10-fold cross-validation is 80/10/10

Hope this helps

Greg

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Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: NN training process

Hi,

Mini batch accuracy should likely to increase with no. of epochs.

But for your case, there can be of multiple reasons behind this:

Mini-batch size
Learning rate
cost function.
Network Architechture
Quality of data and lot more.

It would be better if you provide more information about the NN model you are using.

Moreover, You can also refer to this link : https://www.mathworks.com/matlabcentral/answers/484326-mini-batch-loss-and-accuracy-trends?s_tid=answers_rc1-2_p2_MLT

If your case is similar like that.

Best Answer

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MATLAB: How to train a feedfordward neural network with error weights

MATLAB: NN training process

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