Deep Learning - Deep Neural Network for Beginners Using Python - Output Function Implementation

The video tutorial explains the transition from using WX plus B as an output function to incorporating the sigmoid function for logistic regression. It details the definition of an output formula that takes features, weights, and bias as inputs. The implementation of the sigmoid function using the dot product and bias is demonstrated. The tutorial concludes with an overview of logistic regression and mentions upcoming topics.

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