How can learning process be stopped in backpropagation rule?

on basis of average gradient value

Does backpropagaion learning is based on gradient descent along error surface?

it depends on gradient descent but not error surface

What is meant by generalized in statement backpropagation is a generalized delta rule ?

because delta is applied to only input and output layers, thus making it more simple and generalized

because delta rule can be extended to hidden layer units

because delta is applied to only input and output layers, thus making it more simple and generalized

Explore topic-wise MCQs in Neural Network.

This section includes 3 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.

1.	How can learning process be stopped in backpropagation rule?
A.	there is convergence involved
B.	no heuristic criteria exist
C.	on basis of average gradient value
D.	none of the mentioned
Answer» D. none of the mentioned

Discussion

2.	Does backpropagaion learning is based on gradient descent along error surface?
A.	yes
B.	no
C.	cannot be said
D.	it depends on gradient descent but not error surface
Answer» B. no

Discussion

3.	What is meant by generalized in statement backpropagation is a generalized delta rule ?
A.	because delta rule can be extended to hidden layer units
B.	because delta is applied to only input and output layers, thus making it more simple and generalized
C.	it has no significance
D.	none of the mentioned
Answer» B. because delta is applied to only input and output layers, thus making it more simple and generalized

Discussion