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

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

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Information Technology (IT), Architecture

University

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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.

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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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