The most famous Recurrent Neural Network is _______ (A) Perceptrons (B) Radial Basis Networks (C) Hopfield net (D) None of the Above

The most famous Recurrent Neural Network is _______ (A) Perceptrons (B) Radial Basis Networks (C) Hopfield net (D) None of the Above
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(C) Hopfield net
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The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Description : The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Last Answer : c) Recurrent neural network

The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Description : The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

Last Answer : c) Recurrent neural network

Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network (1) (A) only (2) (B) only (3) (A) and (B) only (4) (A) and (C) only

Description : Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network (1) (A) only (2) (B) only (3) (A) and (B) only (4) (A) and (C) only

Last Answer : (1) (A) only

Which neural network allows feedback signal? (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above

Description : Which neural network allows feedback signal? (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above

Last Answer : (B) Recurrent Neural Network

A neural network in which the signal passes in only one direction is called _____ (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above

Description : A neural network in which the signal passes in only one direction is called _____ (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above

Last Answer : (A) Feed forward Neural Network

Radial Basis Function (RBF) networks have _____ layers. (A) One (B) Four (C) Two (D) Three

Description : Radial Basis Function (RBF) networks have _____ layers. (A) One (B) Four (C) Two (D) Three

Last Answer : (D) Three

_________ is a computational model based on the structure of biological neural networks? (A) Artificial Neural Network (ANN) (B) Biological Network (C) Both(A) & (B) (D) None of the Above

Description : _________ is a computational model based on the structure of biological neural networks? (A) Artificial Neural Network (ANN) (B) Biological Network (C) Both(A) & (B) (D) None of the Above

Last Answer : (A) Artificial Neural Network (ANN)

Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Description : Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex ... solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Last Answer : d) Because it is the simplest linearly inseparable problem that exists.

This set of Artificial Intelligence MCQs focuses on “Neural Networks – 2”. 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Description : This set of Artificial Intelligence MCQs focuses on Neural Networks - 2 . 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in ... by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Last Answer : d) Because it is the simplest linearly inseparable problem that exists.

Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned

Description : Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in ... b) (ii) is true c) (i) and (ii) are true d) None of the mentioned

Last Answer : c) (i) and (ii) are true

Computer programs that mimic the way the human brain processes information is called as:- a) Machine learning b) Deep learning c)Neural networks d) None of the above

Description : Computer programs that mimic the way the human brain processes information is called as:- a) Machine learning b) Deep learning c)Neural networks d) None of the above

Last Answer : c)Neural networks

What are the Neural Networks? Explain the function of each layer of NN with the help of diagram. -AI Class 9th

Description : What are the Neural Networks? Explain the function of each layer of NN with the help of diagram. -AI Class 9th

Last Answer : A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. ... Neural networks ... nonlinear function (relu) as a separate layer. But I would really appreciate a definitive answer.

What are AI neural networks? -AI Class 9th

Description : What are AI neural networks? -AI Class 9th

Last Answer : A neural network is either a system software or hardware that works similar to the tasks performed by neurons of human brain. Neural networks include various technologies like deep learning, and machine learning as a part of Artificial Intelligence ( AI).

The tubular and dorsal nervous system of chordates is related to the cephalization in these animals and to bilateral symmetry. The presence of neural integrating centers with concentration of neurons in the brains and the spinal cord (central nervous system, CNS) allowed the increase of the interaction complexity between these animals and the environment. Receptor (afferent conduction) and efferent (motor, regulatory and behavioral reactions) functions come out more sophisticated in chordates due to the presence of more well-developed neural networks. These features have been preserved by evolution as they provide adaptive advantage to their owners.

Description : The tubular and dorsal nervous system of chordates is related to the cephalization in these animals and to bilateral symmetry. The presence of neural integrating centers with concentration of ... These features have been preserved by evolution as they provide adaptive advantage to their owners.

Last Answer : How can the tubular-dorsal nervous system in chordates be compared to the nervous pattern present in invertebrates?

A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. a) Decision tree b) Graphs c) Trees d) Neural Networks

Description : A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. a) Decision tree b) Graphs c) Trees d) Neural Networks

Last Answer : a) Decision tree

Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Last Answer : a) Linear Functions

Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

Last Answer : d) All of the mentioned

Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

Last Answer : a) (ii) and (iii) are true

What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned

Description : What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ... true b) (i) and (iii) are true c) Only (i) d) All of the mentioned

Last Answer : d) All of the mentioned

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned

Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned

Last Answer : a) All of the mentioned are true

Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Description : Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Last Answer : b) Nonlinear Functions

Core of soft Computing is A. Fuzzy Computing, Neural Computing, Genetic Algorithms B. Fuzzy Networks and Artificial Intelligence C. Artificial Intelligence and Neural Science D. Neural Science and Genetic Science

Description : Core of soft Computing is A. Fuzzy Computing, Neural Computing, Genetic Algorithms B. Fuzzy Networks and Artificial Intelligence C. Artificial Intelligence and Neural Science D. Neural Science and Genetic Science

Last Answer : D. Neural Science and Genetic Science

Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers

Description : Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers

Last Answer : D. Simple forerunner of modern neural networks, without hidden layers

Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned

Description : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned

Last Answer : d) All of the mentioned

Neural Networks are complex ———————–with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions e) Power Functions

Description : Neural Networks are complex ———————–with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions e) Power Functions

Last Answer : b) Nonlinear Functions

Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

Last Answer : a) Linear Functions

Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

Last Answer : d) All of the mentioned

Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

Last Answer : a) (ii) and (iii) are true

What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned

Description : What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ... true b) (i) and (iii) are true c) Only (i) d) All of the mentioned

Last Answer : d) All of the mentioned

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned

Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned

Last Answer : a) All of the mentioned are true

What is multilayer feed forward neural networks?

Description : What is multilayer feed forward neural networks?

Last Answer : It consists of many hidden units. Each hidden unit act as a perceptron that represents a soft threshold functions in the input space. Output unit act as a soft threshold linear combination of several such functions.

What are the two functions in Neural network’s Activation functions?

Description : What are the two functions in Neural network’s Activation functions? 

Last Answer : i. Threshold function  ii. Sigmoid function

Define Neural Networks.

Description : Define Neural Networks.

Last Answer : It consists of nodes or units connected by directed links. A link propagates the activation. Each link has a numeric weight which determines the strength and sign of the connection.

Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics

Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics

Last Answer : B. Artificial neural networks 

______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Last Answer : A. Machine Learning 

Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Description : Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Last Answer : The correct answer is: C. Neural Networks Neural Networks are computer programs or models that are designed to mimic the way the human brain processes information. They are a subset of ... advanced form of neural networks that uses multiple layers of artificial neurons to perform complex tasks.

In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas. A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Description : In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas. A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Last Answer : B. Deep Learning 

List classification of network on basis of geographical area. State the benefits of networks.

Description : List classification of network on basis of geographical area. State the benefits of networks.

Last Answer : Computer Networks are classified based on the geographical area into * Local Area Network * Metropolitan Area Network * Wide Area Network * Campus Area Network (CAN) * Personal Area ... hence the cost of installation, maintenance reduces and also makes it easier to manage these applications.

Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough

Description : Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. ... have to be explicitly hand-coded d) False - just having a single perceptron is enough

Last Answer : c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded

Which algorithm is used in layered Feed forward Neural Network? (A) Back propagation algorithm (B) Binary Search (C) Both(A) & (B) (D) None of the Above

Description : Which algorithm is used in layered Feed forward Neural Network? (A) Back propagation algorithm (B) Binary Search (C) Both(A) & (B) (D) None of the Above

Last Answer : (A) Back propagation algorithm

Which of the following is/are application(s) of Neural Network? (A) Pattern recognition (B) Mobile Computing (C) Speech reading(Lip-reading) (D) All of the Above

Description : Which of the following is/are application(s) of Neural Network? (A) Pattern recognition (B) Mobile Computing (C) Speech reading(Lip-reading) (D) All of the Above

Last Answer : (D) All of the Above

_________ is an artificial neural network with multiple hidden layers between the input and output layers? (A) Deep neural network (B) Shallow neural network (C) Both(A) & (B) (D) None of the Above

Description : _________ is an artificial neural network with multiple hidden layers between the input and output layers? (A) Deep neural network (B) Shallow neural network (C) Both(A) & (B) (D) None of the Above

Last Answer : (A) Deep neural network

The given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning

Description : The given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning

Last Answer : a) Machine Learning

he given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning

Description : he given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning

Last Answer : Machine Learning

The goal is for the software to use what is it is was learned in one area to solve problem in other area. (a) Machine learning (b) Deep learning (c) Neural network (d) All of above

Description : The goal is for the software to use what is it is was learned in one area to solve problem in other area. (a) Machine learning (b) Deep learning (c) Neural network (d) All of above

Last Answer : (b) Deep learning

. In addresses for _______ networks, the first 16 bits specify a particular network, and the last 16 bits specify a particular host. A. class A B. class C C. class B D. class D

Description : . In addresses for _______ networks, the first 16 bits specify a particular network, and the last 16 bits specify a particular host. A. class A B. class C C. class B D. class D

Last Answer : C. class B

Enlist different types of computer networks on the basis of their geography.

Description : Enlist different types of computer networks on the basis of their geography. 

Last Answer : Classification of networks based on geography LAN - Local Area Network MAN - Metropolitan Area Network WAN - Wide Area Network CAN - Campus Area Network PAN - Personal Area Network

Personal computers and networks are often a valuable source of evidence. Those involved with _______ should be comfortable with this technology. a. Criminal investigation b. Prosecution c. Defense work d. All of the above

Description : Personal computers and networks are often a valuable source of evidence. Those involved with _______ should be comfortable with this technology. a. Criminal investigation b. Prosecution c. Defense work d. All of the above

Last Answer : d. All of the above

Which of the following statements appears most accurate in the light of our present knowledge of the neurophysiology underlying learning? Options: A) Learning involves neural fibres in a telephonic type connection between a given receptor and a given effectors B) Learning appears independent of any neurophysiologic basis C) Learning capacity to be independent of the mass of the brain D) To date, Psychologists have not been able to discover the neurophysilogical changes occurring as a person learns

Description : Which of the following statements appears most accurate in the light of our present knowledge of the neurophysiology underlying learning? Options: A) Learning involves neural fibres in a ... Psychologists have not been able to discover the neurophysilogical changes occurring as a person learns

Last Answer : D) To date, Psychologists have not been able to discover the neurophysilogical changes occurring as a person learns

_____ is unauthorized access to or use of data, systems, server or networks including any attempt to probe scan or test the vulnerability of a system, server or network or to breach security or authentication measures without express authorization of the owner of the system, server or network: a) Hacking b) Cracking c) Viruses d) None of These

Description : _____ is unauthorized access to or use of data, systems, server or networks including any attempt to probe scan or test the vulnerability of a system, server or network or to breach security or authentication ... the system, server or network: a) Hacking b) Cracking c) Viruses d) None of These

Last Answer : a) Hacking