I utilize my own dataloader to train the network, where the image is resized and cropped to a fixed size. Therefore, I could use a large batch size, e.g., 32. I wonder to know whether such an operation would influence the final performance?
There is a big chance that the final performance will be influenced. But I'm not sure whether it's in a positive way. Some of the hyper-parameters should be fine-tuned accordingly.
Hi, @backseason ,
I utilize my own dataloader to train the network, where the image is resized and cropped to a fixed size. Therefore, I could use a large batch size, e.g., 32. I wonder to know whether such an operation would influence the final performance?
Thx!