Neural Networks

Activation Functions in ANNs (Conclusion)

In my last article Activation Functions in ANNs, we discussed on few activation functions, now let’s explore more on some other available activation functions. Tanh Function These are scaled sigmoid function which is similar to sigmoid functions. Or It is nonlinear so we can have more than one layer of neurons depending upon the requirement. Its range is (-1, 1).…

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Activation Function
Basics, Neural Networks

Activation Functions in ANNs (Part-1)

Introduction In an ANN the activation function of a node is defined as the threshold after which the node will produce an output given an input or set of inputs. Activation functions can be linear or non-linear but mostly nonlinear functions are being used in ANNs. This is a very important in the way a network learns because in light…

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