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ml-recall

#mse-loss

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Question 1: Short answer

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Training with nn.MSELoss() (the default reduction='mean') and torch.optim.SGD with lr=0.03 works well on minibatches of 64 examples. You switch to nn.MSELoss(reduction='sum'). Which learning rate gives exactly the same parameter updates?

a number, e.g. 0.0012