APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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neuron layer
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hidden layer
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algorithm layer
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None of the above
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Detailed explanation-1: -Multilayer perceptron (MLP) is the most popular and widely used type of feedforward neural network (FFNN) [46]. Typically, MLP consists of three layers: an input layer, a hidden layer, and an output layer [47] .
Detailed explanation-2: -Choosing Hidden Layers If data is less complex and is having fewer dimensions or features then neural networks with 1 to 2 hidden layers would work. If data is having large dimensions or features then to get an optimum solution, 3 to 5 hidden layers can be used.
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