Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)

In this tutorial we go through the basics you need to know about the basics of tensors and a lot of useful tensor operations. I believe knowing about these operations are an essential part of Pytorch and is a foundation that will help as you go further in your deep learning journey. Pytorch is in many ways an extension of NumPy with the ability to work on the GPU and these operations are very similar to what you would see in NumPy so knowing this will also allow you to quicker learn NumPy in the future.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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OUTLINE
0:00 - Introduction
1:26 - Initializing a Tensor
12:30 - Converting between tensor types
15:10 - Array to Tensor Conversion
16:26 - Tensor Math
26:35 - Broadcasting Example
28:38 - Useful Tensor Math operations
35:15 - Tensor Indexing
45:05 - Tensor Reshaping Dimensions (view, reshape, etc)
54:45 - Ending words