Compute the loss by using the predefined loss function

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Problem

In each training loop, evaluate the model on the entire training set x to obtain the output. Compute the loss by using the predefined loss function criterion and comparing the output with the ground truth labels y. Use autograd to compute the gradients by calling loss.backward() instead of calling model.backward() like we did in the last assignment The computed gradients are automatically stored in the model's parameters, which are passed into the optimizer. Get the instant assignment help. Apply a gradient descent update by calling optimizer.step() as done in the previous assignment.

Reference no: EM133916291

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