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How to Perform Basic Matrix Operations with Pytorch Tensor

In this Notebook, I try to Explain Basic Matrix Operations using PyTorch tensor.

Lets Discuss Tensor First!

Tensor is a multi-dimensional matrix containing elements of a single data type.
like tensor is multidimensional so you can Easily handle number Which is a zero-dimensional matrix, vector Which is a single-dimensional matrix, matrix Which is a two-dimensional matrix, or multi-dimensions matrix.

# Import torch and other required modules
import torch
# Number
t1 = torch.tensor(9.)
# vector
t2 = torch.tensor([1,2,3,4,5])

tensor([1, 2, 3, 4, 5])
# matrix
t3 = torch.tensor([[2., 6], 
                   [8, 9], 
                   [9, 4]])
tensor([[2., 6.],
        [8., 9.],
        [9., 4.]])