APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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it is another name given to the curvy function in the perceptron
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it is the transmission of error back through the network to adjust the inputs
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it is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
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none of the mentioned
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Detailed explanation-1: -Explanation: Back propagation is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
Detailed explanation-2: -The backpropagation algorithm starts with random weights, and the goal is to adjust them to reduce this error until the ANN learns the training data. Standard backpropagation is a gradient descent algorithm in which the network weights are moved along the negative of the gradient of the performance function.
Detailed explanation-3: -Backpropagation is a process involved in training a neural network. It involves taking the error rate of a forward propagation and feeding this loss backward through the neural network layers to fine-tune the weights. Backpropagation is the essence of neural net training.