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It provides information from the outside world to the network, no computation is performed at this layer, nodes here just pass on the information(features) to the hidden layer. Input Layer :- This layer accepts input features. This article discusses some of the choices.
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In The process of building a neural network, one of the choices you get to make is what activation function to use in the hidden layer as well as at the output layer of the network. It is recommended to understand what is a neural network before reading this article.
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Activation functions in Neural Networks.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.