RDN-TensorFlow
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Validating while training?
Hello, I want to ask if you don't need to train and validate when you do the experiment? So how do you find the best model?
we pay more attention to the visual effects rather than psnr in daily work, which is hard to be validated. surely validating is necessary in analysis, I will add it to the scripts.
Without validating,I have no idea how many epoch should be set and how to avoid overfiting while training? any help?
@wen04141321 I tried validating when training, depart some data from training set as validation set ,and make eval.h5 for your validation set, when training ,you can add code for validating with feed_dict your validation data.