APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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to develop learning algorithm for multilayer feedforward neural network
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to develop learning algorithm for single layer feedforward neural network
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to propagate the computed loss to compute gradient
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all the mentioned
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Detailed explanation-1: -What is the objective of a backpropagation algorithm? Backpropagation algorithms are used extensively to train feedforward neural networks in areas such as deep learning. They efficiently compute the gradient of the loss function with respect to the network weights.
Detailed explanation-2: -The backpropagation algorithm is based on generalizing the Widrow-Hoff learning rule. It uses supervised learning, which means that the algorithm is provided with examples of the inputs and outputs that the network should compute, and then the error is calculated.
Detailed explanation-3: -What is true regarding backpropagation rule? a) it is also called generalized delta rule b) error in output is propagated backwards only to determine weight updates c) there is no feedback of signal at nay stage d) all of the mentioned Answer: d Explanation: These all statements defines backpropagation algorithm.