Hi, I am quite new to PyTorch.
I am trying to set up a simple Convolutional Neural Network (CNN) but am having trouble training on multiple images. The images are ones i create myself have have size = (50,50), I can create as many as i want.
Currently I have been training on a single image by transforming to
X = torch.tensor(image, dtype=torch.float)
X = X.view(1,1,image.shape[0],image.shape[1])

before training. So the input is of size (1,1,50,50).
My question is how to I expand my code to train on different images?
If possible could you give a general example of what I need to do? I have searched the forums but to no avail.
cheers