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When we start the LP, we only learn how to work with Tensors and jump right to creating a Linear Regression. We need to figure out which one to use, Adam or SGD, without knowing how each works or when to use them.
It would be nice to have a theoretical lesson on (at least) how the optimisers work.
The text was updated successfully, but these errors were encountered:
When we start the LP, we only learn how to work with Tensors and jump right to creating a Linear Regression. We need to figure out which one to use,
Adam
orSGD
, without knowing how each works or when to use them.It would be nice to have a theoretical lesson on (at least) how the optimisers work.
The text was updated successfully, but these errors were encountered: