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YouTube
RANJI RAJ
Deep Learning | Hyperbolic Tangent Activation Function
The tanh function is defined as follows: It is nonlinear in nature, so we can stack layers. It is bound to the range (-1, 1) The gradient is stronger for tanh than sigmoid ( derivatives are steeper) Like sigmoid, tanh also has a vanishing gradient problem. #DeepLearning #tanh #hyperbolictangent 𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 ...
7.3K views
Apr 14, 2020
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