COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Input
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Hidden Layer
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Output
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None of the above
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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.
Detailed explanation-2: -Machine learning and its implementation A shallow neural network has one intermediate layer (hidden layer) between the input and output layers.
Detailed explanation-3: -This is the layer between the input and output layers. In a shallow neural network, there is only one hidden layer.
Detailed explanation-4: -The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction-forward-from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.