COMPUTER FUNDAMENTALS

EMERGING TRENDS IN COMPUTING

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What is back propagation?
A
It is another name given to the curvy function in the perceptron
B
It is the transmission of error back through the network to adjust the inputs
C
It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
D
None of the mentioned
Explanation: 

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: -Back propagation is a learning technique that adjusts weights in the neutral network by propagating weight changes.

Detailed explanation-3: -Explanation: Backpropagation is an efficient approach used to compute loss function’s stress with respect to the parameters of neural networks.

Detailed explanation-4: -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.

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