On the AI/Fastai front:
torch.Size([4, 3, 5]), it means
xcontains 4 2D matrices with 3 rows and 5 columns. Also,
xis 3D matrix, the technical term for which would be a rank-3 tensor.
- When images are represented using PyTorch
tensors, the first dimension corresponds to the number of channels in it. (For e.g., an RGB image will contain 3 channels and, therefore, the first element in the tensor
imshowfunction expects number of channels at the end and you can modify a
tensorto that by applying the