Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python

Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python

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Information Technology (IT), Architecture

University

Hard

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The lecture recaps previous topics and focuses on updating weights using the gradient descent method. It explains how to calculate the output and the derivative of error, and how to update weights and bias in logistic regression. The session concludes with a preview of the next lecture, which will cover the training function of logistic regression.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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