APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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input layers
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hidden layers
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output layers
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None of these
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Detailed explanation-1: -The hidden layer is between the input layer and the output layer. It takes in a set of weighted inputs and produces output through an activation function. This layer is named hidden because it does not constitute the input or the output layer. This is the layer where all the processing happens.
Detailed explanation-2: -A hidden layer in an artificial neural network is a layer in between input layers and output layers, where artificial neurons take in a set of weighted inputs and produce an output through an activation function.
Detailed explanation-3: -The Neural Network is constructed from 3 type of layers: Input layer-initial data for the neural network. Hidden layers-intermediate layer between input and output layer and place where all the computation is done.