Explore topic-wise MCQs in Neural Networks.

This section includes 11 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Networks knowledge and support exam preparation. Choose a topic below to get started.

1.

The number of units in hidden layers depends on?

A. the number of inputs
B. the number of outputs
C. both the number of inputs and outputs
D. the overall characteristics of the mapping problem
Answer» E.
Discussion
2.

How is hard learning problem solved?

A. using nonlinear differentiable output function for output layers
B. using nonlinear differentiable output function for hidden layers
C. using nonlinear differentiable output function for output and hidden layers
D. it cannot be solved
Answer» D. it cannot be solved
Discussion
3.

HOW_IS_HARD_LEARNING_PROBLEM_SOLVED??$

A. using nonlinear differentiable output function for output layers
B. using nonlinear differentiable output function for hidden layers
C. using nonlinear differentiable output function for output and hidden layers
D. it cannot be solved
Answer» D. it cannot be solved
Discussion
4.

The_number_of_units_in_hidden_layers_depends_on?$

A. the number of inputs
B. the number of outputs
C. both the number of inputs and outputs
D. the overall characteristics of the mapping problem
Answer» E.
Discussion
5.

The nature of mapping problem decides?

A. number of units in second layer
B. number of units in third layer
C. overall number of units in hidden layers
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
6.

Does an approximate system produce strictly an interpolated output?

A. yes
B. no
Answer» C.
Discussion
7.

To provide generalization capability to a network, what should be done?

A. all units should be linear
B. all units should be non – linear
C. except input layer, all units in other layers should be non – linear
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
8.

What is the objective of pattern mapping problem?

A. to capture weights for a link
B. to capture inputs
C. to capture feedbacks
D. to capture implied function
Answer» E.
Discussion
9.

Can mapping problem be a more general case of pattern classification problem?

A. yes
B. no
Answer» B. no
Discussion
10.

What is a mapping problem?

A. when no restrictions such as linear separability is placed on the set of input – output pattern pairs
B. when there may be restrictions such as linear separability placed on input – output patterns
C. when there are restriction but other than linear separability
D. none of the mentioned
Answer» B. when there may be restrictions such as linear separability placed on input ‚Äö√Ñ√∂‚àö√ë‚àö¬® output patterns
Discussion
11.

Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units?

A. yes
B. no
Answer» B. no
Discussion