Question 1
Marks : +2 | -2
Pass Ratio : 30%
What is true regarding backpropagation rule?
Explanation: In backpropagation rule, actual output is determined by computing the outputs of units for each hidden layer.
Question 2
Marks : +2 | -2
Pass Ratio : 20%
What is the objective of backpropagation algorithm?
Explanation: The objective of backpropagation algorithm is to to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly.
Question 5
Marks : +2 | -2
Pass Ratio : 20%
How can learning process be stopped in backpropagation rule?
Explanation: If average gadient value fall below a preset threshold value, the process may be stopped.
Question 7
Marks : +2 | -2
Pass Ratio : 10%
What is true regarding backpropagation rule?
Explanation: These all statements defines backpropagation algorithm.
Question 10
Marks : +2 | -2
Pass Ratio : 20%
What is meant by generalized in statement “backpropagation is a generalized delta rule” ?
Explanation: The term generalized is used because delta rule could be extended to hidden layer units.