EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
It is another name given to the curvy function in the perceptron
|
|
It is the transmission of error back through the network to adjust the inputs
|
|
It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
|
|
None of the mentioned
|
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.