PyTorch Tensors - That's Interesting !

A torch.tensor is a multi-dimensional matrix containing elements of a single data type.
Let's dive deep and understand some interesting functions of PyTorch tensors -

• randn()
• imag()
• hypot()
• bincount()
• bucketize()

Before we begin, let's import PyTorch

Function 1 - torch.randn

• Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution).
• Parameters:
  • size(int...) --> A sequence of integers defining the shape of tensor.

Let's create a tensor of a single element using randn