APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Output, Hidden Layer, Input
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Hidden Layer, Input, Output
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Input, Hidden Layer, Output
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None of the above
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Detailed explanation-1: -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. Output layer-produce the result for given inputs.
Detailed explanation-2: -What is a Hidden Layer? In neural networks, a hidden layer is located between the input and output of the algorithm, in which the function applies weights to the inputs and directs them through an activation function as the output.
Detailed explanation-3: -Input Layer– First is the input layer. Hidden Layer– The second type of layer is called the hidden layer. Output layer– The last type of layer is the output layer. A layer consists of small individual units called neurons. More items •01-Mar-2021