With training deeplab keras, loss and stable growth, but from the beginning has been val_loss concussion, amplitude is very big, is this why?

CodePudding user response:

Because too fitting, fitting mean, in you overuse of your training model in the training data, but the commonality is bad, so just lead to verify the loss of the ups and downs is bigger, suggest some other optimization, or increase the amount of data,