How to get training accuracy in bidirectional LSTM?

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I used the bidirectional LSTM and I would like to save its training accuracy. According to trainingoptions, 'OutputFcn' is output functions to call during training, specified as the comma-separated pair consisting of 'OutputFcn' and a function handle or cell array of function handles. trainNetwork calls the specified functions once before the start of training, after each iteration, and once after training has finished. trainNetwork passes a structure containing information in certain fields. One of them is TrainingAccuracy. How can I accomplish my goal to save training accuracy of my trained network?
Thanks a lot

回答(1 个)

Prajit T R
Prajit T R 2018-6-26
Hi Hany
To save the training accuracy of the model you would have to write a custom output function and pass it to the parameter 'OutputFcn' as demonstrated in the following example:
In your output function, you could obtain and store the training accuracy for each epoch by using info.TrainingAccuracy.
Hope this helps


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