Update the Gradient
Explore how to update the gradient in logistic regression by deriving the partial derivative of the log loss function and applying gradient descent. Understand how replacing the linear model with a sigmoid function transforms predictions into binary classifications. Gain insights on the model's shape changes and stability for effective training.
We'll cover the following...
We'll cover the following...
Updating the loss function
Now that we have a brand-new loss function, let’s look up its gradient. Here is the partial derivative of the log loss with respect to the weight from the math textbooks:
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