COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Output of all the nodes of a layer is input to all the nodes of the next layer
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Output of all the nodes of a layer is input to all the nodes of the same layer
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Output of all the nodes of a layer is input to all the nodes of the previous layer
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Output of all the nodes of a layer is input to all the nodes of the output layer
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Detailed explanation-1: -A Multilayer Perceptron has input and output layers, and one or more hidden layers with many neurons stacked together. And while in the Perceptron the neuron must have an activation function that imposes a threshold, like ReLU or sigmoid, neurons in a Multilayer Perceptron can use any arbitrary activation function.
Detailed explanation-2: -Displays information about the neural network, including the dependent variables, number of input and output units, number of hidden layers and units, and activation functions. Diagram. Displays the network diagram as a non-editable chart.
Detailed explanation-3: -The multilayer perceptron has been considered as providing a nonlinear mapping between an input vector and a corresponding output vector.
Detailed explanation-4: -The number of neurons in the inputs and output layers are determined by the number of available inputs and required outputs respectively.