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YouTubeStephen Blum
Python Pytorch and Matrix Multiplication
Today we are walking through basic PyTorch matrix tricks in a Python REPL. The big idea is to keep your math inside PyTorch tensors so autograd can track it and your model can stay fast on GPU or CPU. We start with torch.arange to make a simple tensor, then reshape it into 2D and 3D forms. We also create tensors with torch.rand, torch.zeros ...
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