Do I have to set same batch size for training, validation and testing?
I was performing segmentation task and have set my batchsize to 16 for all train, validation and inferencing. In my observation, I got better result in inferencing when setting batch size to 1. How should I decide the correct size for these three or they will have to be of same size?
Topic semantic-segmentation deep-learning
Category Data Science