Deep Learning - Deep Neural Network for Beginners Using Python - Sigmoid Function

The video tutorial explains the transition from using a step function to a sigmoid function in machine learning models. Initially, the step function, which outputs discrete values of 0 or 1, is discussed. The limitations of this approach are highlighted, leading to the introduction of the sigmoid function. The sigmoid function normalizes values between 0 and 1, providing continuous outputs. The tutorial further explains the mathematical formula of the sigmoid function and its implementation in models, replacing the step function to achieve continuous value outputs.

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