I'm new to Caffe. I'm trying to understand the rules of using convolutional neural networks. And my questions are:
- is it mandatory for the images to be small for training?
- is it mandatory for the images to be squared?
I'm asking this because the biggest example of images used I found is 512 x 512. Would it be counter-intuitive to use for example HD size images?