Save Optimization Of Hyperparameter In A Convolutional Neural Net

I am facing a problem regarding saving the training process of the hyperparameter in my Convolutional Neural Net. I have read couple of blog posts, but somehow I am unable to do th

Solution 1:

I do not have the exact answer to that question, however there is here a "trick" that might do it.

It proposes to print the content of every trial tested, at the end of the code. Maybe you can save the "trials" object as well in a pickle or something, so that you can parse and check for yourself later. I do have the exact same question and i'm very very suprise that there is no "easy" solution as with the keras callbacks to save the best trained model.

I also suggest you to change the title of your questiopn, adding at least "Hyperopt", "callbacks" and "saving model" key words. With more attention maybe our question will be answered :)