Tim Nagle-McNaughton, PhD

.ee also works

Nice--much appreciated. Good luck with your PhD.

1. It seems pretty obvious to me that your model is immediately overfitting. Your validation loss is almost double your training loss immediately. I would think that the learning rate...

The validation set is used to validate training. After each step, the current model is tested on the validation set. This test determines if the last training improved the model...

>So if my validation score is not improving, does the training model learn that and adjust its weights? Broadly, yes. >the resultant model should not perform that poorly on val...

Are you using tensorflow-gpu? What keras version are you using?