Deep Learning building blocks: 5 popular torch tensor functions

Hi all, in this short introduction about PyTorch, I decided to explore 5 main functions that are a must in most of Deep Learning models nowadays:

• torch.view()
• torch.reshape()
• torch.permute()
• torch.flatten()
• torch.cat()

Particularly, I chose them not only because they are famous, but also because some of them can generate some confusion as they behave quite similarly.

Function 1 - torch.view()

This function returns a new tensor with the same data as the original tensor but of a different shape.

Imagine we want to reshape our tensor to a (1, 4) shape