Sebastian Raschka
Sebastian Raschka
@sebastianraschka·88.6K subscribers·306 videos

L8.3 Logistic Regression Loss Derivative and Training

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February 23, 2021

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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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This video is part of my Introduction of Deep Learning course.

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L8.3 Logistic Regression Loss Derivative and Training · Sebastian Raschka · Sentinel