Python for Deep Learning - Build Neural Networks in Python - Hyperbolic Tangent Function

The video tutorial explains the hyperbolic tangent function, comparing it to the sigmoid function. It highlights the advantages of the hyperbolic tangent function, such as its ability to map negative inputs strongly negative and its use in classification tasks. The function is particularly useful in feedforward propagation to enhance output differences.

What is the primary use of the hyperbolic tangent function in machine learning?

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Explain how the hyperbolic tangent function affects the outputs during feedforward propagation.

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