Derivative of the Tanh Activation function

In this video, I will show you a step by step guide on how you can compute the derivative of a TanH Function. TanH function is a widely used activation function Deep Learning & Machine Learning. The tanh function, a.k.a. hyperbolic tangent function, is a rescaling of the logistic sigmoid, such that its outputs range from -1 to 1 and it is the hyperbolic analogue of the Tan circular function used throughout trigonometry. Tanh[α] is defined as the ratio of the corresponding hyperbolic sine and hyperbolic cosine functions via . Tanh may also be defined as , where is the base of the natural logarithm Log.

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Derivative of the Tanh Activation function | Deep Learning

I will show you a step by step guide on how you can compute the derivative of a TanH Function. TanH function is a widely used activation function Deep Learning & Machine Learning. The tanh function, a.k.a. hyperbolic tangent function, is a rescaling of the logistic sigmoid, such that its outputs range from -1 to 1 and it is the hyperbolic analogue of the Tan circular function used throughout trigonometry. Tanh[α] is defined as the ratio of the corresponding hyperbolic sine and hyperbolic cosine functions via . Tanh may also be defined as , where is the base of the natural logarithm Log.

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Derivative of the Tanh Activation function | Deep Learning