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compute the loss with respect to the pre-activation. It's actually a very simple expression. Um so that that's why I have the gradient of this vector a l +
one. That's the pre-activation at the very last layer of the loss function which is minus the log f ofxy. And it turns out this gradient is super
simple. It's minus e of y. So that's the one hot vector for class Y. So what this
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