Sebastian Raschka
@sebastianraschka·88.6K subscribers·307 videos
L8.3 Logistic Regression Loss Derivative and Training
Posted
February 23, 2021
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8,759
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February 23, 2021
8,759
109
5
1.30%
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Now that we understand the forward pass in logistic regression and are familiar with the loss function, let us look at the loss derivative (or gradient) with respect to the weights. Then we can apply gradient descent to update the weights to minimize the loss and thereby optimize the prediction accuracy.
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