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Welcome to the Learning Concepts of Neural Networks MCQs Page

Dive deep into the fascinating world of Learning Concepts of Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Learning Concepts of Neural Networks, a crucial aspect of Neural Networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Learning Concepts of Neural Networks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Neural Networks.

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Check out the MCQs below to embark on an enriching journey through Learning Concepts of Neural Networks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Neural Networks.

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Learning Concepts of Neural Networks MCQs | Page 1 of 5

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Q1.
What is the name of the model in figure below?

a.

Rosenblatt perceptron model

b.

McCulloch-pitts model

c.

Widrow’s Adaline model

d.

None of the mentioned

Discuss
Answer: (b).McCulloch-pitts model
Q2.
What is nature of function F(x) in the given figure?

a.

linear

b.

non-linear

c.

can be either linear or non-linear

d.

none of the mentioned

Discuss
Answer: (b).non-linear
Q3.
What does the character ‘b’ represents in the below diagram?

a.

bias

b.

any constant value

c.

a variable value

d.

none of the mentioned

Discuss
Answer: (a).bias
Q4.
If ‘b’ in the figure below is the bias, then what logic circuit does it represents?

a.

or gate

b.

and gate

c.

nor gate

d.

nand gate

Discuss
Answer: (c).nor gate
Q5.
When both inputs are 1, what will be the output of the below figure?

a.

0

b.

1

c.

either 0 or 1

d.

z

Discuss
Answer: (a).0
Q6.
When both inputs are different, what will be the output of the below figure?

a.

0

b.

1

c.

either 0 or 1

d.

z

Discuss
Answer: (a).0
Q7.
Which of the following model has ability to learn?

a.

pitts model

b.

rosenblatt perceptron model

c.

both rosenblatt and pitts model

d.

neither rosenblatt nor pitts

Discuss
Answer: (b).rosenblatt perceptron model
Q8.
When both inputs are 1, what will be the output of the pitts model nand gate ?

a.

0

b.

1

c.

either 0 or 1

d.

z

Discuss
Answer: (a).0
Q9.
Does McCulloch-pitts model have ability of learning?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Q10.
Who invented perceptron neural networks?

a.

McCullocch-pitts

b.

Widrow

c.

Minsky and papert

d.

Rosenblatt

Discuss
Answer: (d).Rosenblatt
Page 1 of 5

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