Hyperbolic Tangent as Neural Network Activation Function
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Hyperbolic Tangent as Neural Network Activation Function
In neural networks, as an alternative to sigmoid function, hyperbolic tangent function could be used as activation function. Derivative of hyperbolic tangent function has a simple form just like sigmoid function. This explains why hyperbolic tangent common in neural networks.
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the_iitian_coder on Instagram: "An activation function shapes how AI learns by converting inputs into meaningful outputs. This graph shows how a simple curve decides what information moves forward and what gets suppressed, allowing neural networks to understand patterns, handle complexity, and make intelligent decisions. In short, this curve is what turns data into learning. ✅Behind every smart AI there’s a powerful activation function ⚡ Master AI & ML with The IITIAN Coder #AI #MachineLearning
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