Deep Learning - Deep Neural Network for Beginners Using Python - Learning Rate

The video tutorial introduces the concept of learning rate, a hyperparameter crucial in machine learning. It explains how the learning rate, typically ranging from 0 to 1, affects the adjustment of weights in equations. The tutorial demonstrates the application of a learning rate of 0.1 in modifying equations and discusses the impact of different learning rate values on classification accuracy. It raises questions about handling misclassified points and the effects of extreme learning rate values.

How does the learning rate affect the adjustment of weights in the model?

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Discuss the implications of misclassifying a positive point that is negatively labeled.

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