I'm doing transfer learning using Inception on Tensorflow. The code that I used for training is https://raw.githubusercontent.com/tensorflow/hub/master/examples/image_retraining/retrain.py
If you take a look at the Argument Parser section at the bottom of the code, you will find these parameters :
So far, I understand that testing and validation percentage is the amount of images that we want to train at 1 time. But I don't really understand the use of test batch size and validation batch size. What is the difference between percentage and batch size?