Introduction to PyTorch Tensors

Tensors are the fundamental data abstraction within PyTorch. This video covers everything you'll need to get started using PyTorch tensors, including: How to create and copy tensors, performing math & logic operations on tensors, doing tensor computations on a GPU, reshaping tensors, and NumPy compatibility of PyTorch tensors.

[striderQED]

These are awesome thanks. Thank you. Only suggestion, relate these low level operations to some higher ones such as applying a cost function to a layer.

[mehreentabassum]

Very helpful. Kindly use a cursor and a large notebook screen for future videos.

[leiqin]

At 22:31 line 11, was it supposed to be "assert id(c) == old_id" instead of "assert id(c), old_id" ?

[nakuldatla]

Covered a lot of ground, great place to start on tensors

[iuryt]

29:43 Does it have y.to_(my_device) for the in-place operation?

[wayneqwele]

Thank you for the content, it really covers basic operations very well.

[Alexander_Ryan]

I have to use earphone with maximum volume.

[JustPlainRob]

Excellent information but half an hour of pure light mode code is absolutely brutal on the eyes at this time of night.
Maybe I can write an app to invert the colors for me.