Export individual train and validation loss of deep learning model with multiple outputs

keras
tensorflow
#1

I am building by keras a deep learning model that has multiple output. The model is trained by using fit_generator, the returned history data is the total loss (the mean of the train or validation loss of all output).
And this seems been hard coded in functions called keras_training_history() and to_keras_training_history(), and built into the library.

I have tried to revise these two functions and source them externally and got no luck.

Does anyone have any solution to it? Any idea is appreciated?

Thank you!

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#2

Can you please provide a minimal reprex (reproducible example) of what you are trying to do? The goal of a reprex is to make it as easy as possible for me to recreate your problem so that I can fix it: please help me help you!

If you've never heard of a reprex before, start by reading "What is a reprex", and follow the advice further down that page.

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closed #3

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