EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Detailed explanation-1: -The three-layered neural network consists of three layers-input, hidden, and output layer. When the input data is applied to the input layer, output data in the output layer is obtained.
Detailed explanation-2: -RBFNs are specific types of neural networks that follow a feed-forward approach and make use of radial functions as activation functions. They consist of three layers namely the input layer, hidden layer, and output layer which are mostly used for time-series prediction, regression testing, and classification.
Detailed explanation-3: -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. Output layer-produce the result for given inputs.