Hindi version: https://youtu.be/7yRkvPxE7Hs
We start this lesson with the basics of PyTorch: tensors, gradients, and Autograd. We then proceed to implement linear regression and gradient descent from scratch, first using matrix operations and then using PyTorch built-ins. Notebooks used in this lesson:
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