Top 70 PyBrain Multiple Choice Questions (MCQs) with Answers

1 .

Pybrain is an open-source library for Machine learning implemented using?

A)

C

B)

R

C)

Java

D)

Python

Correct Answer : Python

Explanation : Pybrain is an open-source library for Machine learning implemented using python.

2 .

What is PyBrain?

A)

A machine learning library in Python

B)

A database management system

C)

A web framework for data analysis

D)

A programming language for artificial intelligence

Correct Answer : A machine learning library in Python

Explanation : PyBrain is a machine learning library in Python that provides algorithms for neural networks, reinforcement learning, unsupervised learning, and more.

3 .

PyBrain is an ____.

A)

AI

B)

Neural Network Library

C)

Python-Based Reinforcement Learning

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain is an Python-Based Reinforcement Learning, AI, and Neural Network Library.

4 .

Which is a neural network, where the information between nodes moves in the forward direction and will never travel backward?

A)

Recurrent Networks

B)

feed-backward network

C)

Feed-forward Network

D)

None of the above

Correct Answer : Feed-forward Network

Explaination : Feed-forward network is a neural network, where the information between nodes moves in the forward direction and will never travel backward. Feed Forward network is the first and the simplest one among the networks available in the artificial neural network.

5 .

Which of the following is NOT a feature of PyBrain?

A)

Support for multiple types of neural networks

B)

Easy-to-use interface for non-programmers

C)

Integration with other machine learning libraries

D)

Support for supervised and unsupervised learning

Correct Answer : Easy-to-use interface for non-programmers

Explanation : PyBrain is primarily designed for use by programmers, and while it is relatively easy to use, it does require some programming knowledge.

6 .

What type of neural network is supported by PyBrain?

A)

Multi-layer perceptrons

B)

Recurrent neural networks

C)

Convolutional neural networks

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain supports multiple types of neural networks, including convolutional neural networks, recurrent neural networks, and multi-layer perceptrons.

7 .

Which of the following is NOT a reinforcement learning algorithm provided by PyBrain?

A)

SARSA

B)

Q-learning

C)

Logistic regression

D)

TD-learning

Correct Answer : Logistic regression

Explanation : PyBrain provides several reinforcement learning algorithms, including Q-learning, SARSA, and TD-learning, but it does not include logistic regression.

8 .

A network is made up of modules that are linked together through ____.

A)

Modules

B)

Contacts

C)

Connectors

D)

Connections

Correct Answer : Connections

Explanation : A network is made up of modules that are linked together through connections.

9 .

Does PyBrain support Neural Networks?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : Yes

Explanation : Yes, Pybrain supports neural networks such as the Feed-Forward Network, the Recurrent Network, and others.

10 .

In Which of the following, we have an input and output, and we can make use of an algorithm to map the input with the output?

A)

Modules

B)

Supervised Learning

C)

Unsupervised Learning

D)

BackpropTrainer

Correct Answer : Supervised Learning

Explaination : Supervised Learning : In this case, we have an input and output, and we can make use of an algorithm to map the input with the output.

11 .

To create a network in pybrain, we have to use ________ api.

A)

feedNetwork

B)

buildNetwork

C)

openNetwork

D)

createNetwork

Correct Answer : buildNetwork

Explanation : We are going to use python interpreter to execute our code. To create a network in pybrain, we have to use buildNetwork api

12 .

Which of the following are advantages of Pybrain?

A)

Pybrain is an open-source free library to learn Machine Learning

B)

Training and testing of data are easy using Pybrain trainers

C)

Pybrain works easily with other libraries of python to visualize data

D)

All of the above

Correct Answer : All of the above

Explanation : All of the above are advantages of Pybrain.

13 .

Which algorithm Pybrain does not support?

A)

Backpropagation

B)

Genetic Algorithms

C)

K-Nearest Neighbours

D)

Radial Basis Function Networks

Correct Answer : K-Nearest Neighbours

Explanation : K- Nearest Neighbours algorithm Pybrain does not support.

14 .

Which of the following trainers does Pybrain supports?

A)

Reinforcement trainers

B)

Unsupervised trainers

C)

Backpropagation trainers

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain supports a variety of trainers, including :

* Reinforcement trainers
* Unsupervised trainers
* Backpropagation trainers

15 .

In PyBrain, ____ technique is used to assess how well a neural network performs by breaking the dataset into a number of subgroups and training the network on each subset separately.

A)

Cross-validation

B)

Cross verificaion

C)

Normalization

D)

Regularisation

Correct Answer : Cross-validation

Explaination : In PyBrain, a technique called cross-validation is used to assess how well a neural network performs by breaking the dataset into a number of subgroups and training the network on each subset separately.

16 .

In PyBrain, ____ is the act of introducing a penalty term into the error function to prevent overfitting.

A)

Regularisation

B)

Normalization

C)

Cross validation

D)

None of the above

Correct Answer : Regularisation

Explanation : In PyBrain, regularisation is the act of introducing a penalty term into the error function to prevent overfitting.

17 .

To create a dataset we need to use the pybrain dataset package ___________.

A)

py.datasets

B)

pybrain.sets

C)

pybrain.data

D)

pybrain.datasets

Correct Answer : pybrain.datasets

Explanation : To create a dataset we need to use the pybrain dataset package: pybrain.datasets.

18 .

________ is trainer that trains the parameters of a module according to a supervised or ClassificationDataSet dataset (potentially sequential) by backpropagating the errors.

A)

SequentialTrainer

B)

BackpropTrainer

C)

TrainUntilConvergence

D)

All of the above

Correct Answer : BackpropTrainer

Explaination : BackpropTrainer is trainer that trains the parameters of a module according to a supervised or ClassificationDataSet dataset (potentially sequential) by backpropagating the errors (through time).

19 .

Which of the following is a package that PyBrain is built on?

A)

Scipy

B)

Numpy

C)

Matplotlib

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain is built on several other Python packages, including Numpy, Scipy, and Matplotlib.

20 .

Which of the following is NOT a type of data that can be used with PyBrain?

A)

Text data

B)

Audio data

C)

Image data

D)

Time series data

Correct Answer : Audio data

Explanation : While PyBrain can be used with many types of data, including text, image, and time series data, it does not have built-in support for audio data.

21 .

Which of the following is a method for creating a neural network using PyBrain?

A)

Using a pre-trained network

B)

Building the network layer-by-layer

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Both (A) and (B)

Explanation : PyBrain provides methods for building a neural network layer-by-layer, as well as for using a pre-trained network.

22 .

What is the feed-forward network?

A)

A feed-forward network is a type of neural network in which information between nodes flows backward and never forward.

B)

A feed-forward network is a type of neural network in which information between nodes flows forward and never backward.

C)

Both (A) and (B)

D)

None of the above

Correct Answer : A feed-forward network is a type of neural network in which information between nodes flows forward and never backward.

Explanation : A feed-forward network is a type of neural network in which information between nodes flows forward and never backward.

23 .

Which is the first and most basic network accessible in the artificial neural network?

A)

Perceptron

B)

Multilayer Perceptron

C)

Convolutional Neural Network

D)

Feed Forward Neural Network

Correct Answer : Perceptron

Explanation : Perceptron is the first and most basic network accessible in the artificial neural network.

24 .

What is the difference between Recurrent Networks and Feed Forward Networks?

A)

Recurrent Networks are similar to Feed Forward Networks it is not compulsory in Recurrent Networks to remember the data at each step.

B)

Recurrent Networks are similar to Feed Forward Networks in that they must remember the data at each step. Each step's history must be kept.

C)

There is no difference they are the same.

D)

None of the above

Correct Answer : Recurrent Networks are similar to Feed Forward Networks in that they must remember the data at each step. Each step's history must be kept.

Explanation : Recurrent Networks are similar to Feed Forward Networks in that they must remember the data at each step. Each step's history must be kept.

25 .

To set the bias term for a neuron in PyBrain, which method is utilized?

A)

set()

B)

Bias()

C)

setBias()

D)

None of the above

Correct Answer : setBias()

Explanation : To set the bias term for a neuron in PyBrain, you can use the setBias() method of the Neuron object.

26 .

What is a Bias Term?

A)

In PyBrain, a bias term is a constant value that is added to a neuron's inputs before activation.

B)

In PyBrain, a bias term is a variable value that is added to a neuron's output before activation.

C)

Both (A) and (B)

D)

None of the above

Correct Answer : In PyBrain, a bias term is a constant value that is added to a neuron's inputs before activation.

Explanation : In PyBrain, a bias term is a constant value that is added to a neuron's inputs before activation. It can contribute to a network's performance improvement by adding more flexibility.

27 .

In PyBrain, which of the following term refers to the process of computing a neuron's output depending on its inputs and weights?

A)

Activation

B)

Neurotisation

C)

Electrification

D)

Neurofunction

Correct Answer : Activation

Explaination : In PyBrain, the term "activation" refers to the process of computing a neuron's output depending on its inputs and weights.

28 .

Which of the following is a function for training a neural network in PyBrain?

A)

fit()

B)

learn()

C)

teach()

D)

train()

Correct Answer : train()

Explanation : The train() function is used to train a neural network in PyBrain.

29 .

Which of the following is NOT a method for evaluating a neural network in PyBrain?

A)

Using cross-validation

B)

Visualizing the networkâ€™s output

C)

Calculating the accuracy on a test set

D)

Comparing the networkâ€™s performance to a random baseline

Correct Answer : Visualizing the networkâ€™s output

Explanation : While PyBrain does provide methods for evaluating a neural network, such as calculating the accuracy on a test set, using cross-validation, and comparing the network’s performance to a random baseline, there is no built-in method for visualizing the network’s output.

30 .

Which of the following is a type of activation function used in PyBrain?

A)

Step function

B)

Linear function

C)

Sigmoid function

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain supports multiple types of activation functions, including the sigmoid function, linear function, and step function.

31 .

Which of the following is a package for data preprocessing in PyBrain?

A)

pybrain.tools.scaling

B)

pybrain.tools.datasets

C)

pybrain.tools.mapping

D)

pybrain.tools.validation

Correct Answer : pybrain.tools.scaling

Explanation : The pybrain.tools.scaling package provides tools for data preprocessing in PyBrain, including normalization and standardization.

32 .

Which of the following is a method for saving a trained neural network in PyBrain?

A)

save()

B)

dump()

C)

export()

D)

All of the above

Correct Answer : All of the above

Explanation : PyBrain provides multiple methods for saving a trained neural network, including save(), export(), and dump().

33 .

Which of the following is NOT a method for loading a saved neural network in PyBrain?

A)

load()

B)

import()

C)

loadFromPickle()

D)

All of the above

Correct Answer : import()

Explanation : While PyBrain does provide methods for loading a saved neural network, such as load() and loadFromPickle(), there is no built-in method called import().

34 .

Which of the following datasets are supported by PyBrain?

A)

Sequential dataset

B)

Supervised dataset

C)

Classification dataset

D)

All of the above

Correct Answer : All of the above

Explanation : Supervised dataset, classification dataset, and sequential dataset are the datasets classes that are supported by Pybrain.

35 .

In which type of dataset each sample is assigned a label from a limited range of categories?

A)

Supervised dataset

B)

Sequential dataset

C)

Classification dataset

D)

None of the above

Correct Answer : Classification dataset

Explanation : A classification dataset is a type of dataset in which each sample is assigned a label from a limited range of categories.

36 .

Which type of dataset has a temporal link between the input and output pairs?

A)

Sequential dataset

B)

Supervised dataset

C)

Classification dataset

D)

None of the above

Correct Answer : Sequential dataset

Explanation : Sequential dataset is a dataset that has a temporal link between the input and output pairs.

37 .

What is BackpropTrainer?

A)

BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset

B)

BackpropTrainer is a trainer that backpropagates the dataset in a forward direction to train the parameters of a module using a supervised or ClassificationDataSet dataset.

C)

Both (A) and (B)

D)

None of the above

Correct Answer : BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset

Explanation : BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset.

38 .

Which of the following function is used to load a dataset in PyBrain?

A)

Load()

B)

Dataset()

C)

loadDataSet()

D)

None of the above

Correct Answer : loadDataSet()

Explanation : To load a dataset in PyBrain, you can use the loadDataSet() function.

39 .

In PyBrain, a ____ is a computational component that processes inputs, generates outputs and executes computations.

A)

Neuro

B)

Neuron

C)

Neuro Unit

D)

Neuro operation

Correct Answer : Neuron

Explanation : In PyBrain, a neuron is a computational component that processes inputs, generates outputs and executes computations.

40 .

____ Adds the module to the network and mark it as an output module.

A)

addOutput(m)

B)

addOutModule(m)

C)

addOutputMod(m)

D)

addOutputModule(m)

Correct Answer : addOutputModule(m)

Explanation : addOutputModule(m) − Adds the module to the network and marks it as an output module.

41 .

______ Adds the module given to the network and marks it as an input module.

A)

addInput(m)

B)

addModule(m)

C)

addInputModule(m)

D)

addInputMod(m)

Correct Answer : addInputModule(m)

Explanation : addInputModule(m) − Adds the module given to the network and mark it as an input module.

42 .

Which of the following is used to train the module until it converges on the dataset?

A)

BackpropTrainer

B)

TrainUntilConvergence

C)

Both (A) and (B)

D)

None of the above

Correct Answer : TrainUntilConvergence

Explanation : TrainUntilConvergence is used to train the module until it converges on the dataset.

43 .

What is Trained data in PyBrain?

A)

Trained data is the data that was loaded in the Pybrain.

B)

Trained data is the data that is the result of the dataset loaded in the Pybrain network.

C)

Trained data is the data that was used to train the Pybrain network.

D)

None of the above

Correct Answer : Trained data is the data that was used to train the Pybrain network.

Explanation : Trained data is the data that was used to train the Pybrain network.

44 .

_____ are essentially a collection of functions that are employed on a network's hidden layers.

A)

Path

B)

Tiers

C)

Strata

D)

Layers

Correct Answer : Layers

Explanation : Layers are essentially a collection of functions that are employed on a network's hidden layers.

45 .

The data which is used to test the trained Pybrain network is known as ____.

A)

Testing data

B)

Testing info

C)

Testing evidence

D)

Testing outcome

Correct Answer : Testing data

Explanation : The data which is used to test the trained Pybrain network is known as testing data.

46 .

Which of the following is a method for splitting a dataset into training and testing sets in PyBrain?

A)

shuffle()

B)

split()

C)

crossValidation()

D)

All of the above

Correct Answer : split()

Explanation : The split() method can be used to split a dataset into training and testing sets in PyBrain.

47 .

Which of the following is a package for visualizing neural networks in PyBrain?

A)

pybrain.tools.plots

B)

pybrain.tools.datasets

C)

pybrain.tools.validation

D)

pybrain.tools.neuralnets

Correct Answer : pybrain.tools.plots

Explanation : The pybrain.tools.plots package provides tools for visualizing neural networks in PyBrain, including plotting the network’s weights and outputs.

48 .

Which of the following is NOT a method for creating a dataset in PyBrain?

A)

SupervisedDataSet()

B)

UnsupervisedDataSet()

C)

ReinforcementDataSet()

D)

SequenceClassificationDataSet()

Correct Answer : ReinforcementDataSet()

Explanation : PyBrain provides methods for creating supervised, unsupervised, and sequence classification datasets, but there is no built-in method called ReinforcementDataSet().

49 .

Which of the following is a package for implementing reinforcement learning in PyBrain?

A)

pybrain.nn

B)

pybrain.tools

C)

pybrain.rl

D)

pybrain.datasets

Correct Answer : pybrain.rl

Explanation : The pybrain.rl package provides tools for implementing reinforcement learning in PyBrain.

50 .

Which of the following is a method for evaluating the performance of a neural network in PyBrain?

A)

validate()

B)

measureErrors()

C)

calculateAccuracy()

D)

All of the above

Correct Answer : validate()

Explanation : The validate() method can be used to evaluate the performance of a neural network in PyBrain, including calculating the network’s error and accuracy.

51 .

Which of the following is a method for creating a multi-layer perceptron in PyBrain?

A)

createMLP()

B)

buildNetwork()

C)

makePerceptron()

D)

All of the above

Correct Answer : buildNetwork()

Explanation : The buildNetwork() method can be used to create a multi-layer perceptron in PyBrain

52 .

_____ are networks that have input and output buffers.

A)

Units

B)

Components

C)

Modules

D)

None of the above

Correct Answer : Modules

Explanation : Modules are networks that have input and output buffers.

53 .

The ____ function returns a deep copy of the dataset.

A)

Copy()

B)

Dupli()

C)

Clone()

D)

Replica()

Correct Answer : Copy()

Explanation : The copy() function returns a deep copy of the dataset.

54 .

Which of the following Supervised dataset method will create a new sample from the input and target?

A)

add(inp, target)

B)

addTest(inp, target)

C)

addValue(inp, target)

D)

addSample(inp, target)

Correct Answer : addSample(inp, target)

Explanation : addSample(inp, target) method will create a new sample from the input and target.

55 .

____ function clears the dataset.

A)

Clean()

B)

Delete()

C)

Remove()

D)

Eliminate()

Correct Answer : Clean()

Explanation : clean() function clears the dataset.

56 .

Which of the following Adds the given module to the network?

A)

addedModule(m)

B)

addModule(m)

C)

IncludeModule(m)

D)

aprehendModule(m)

Correct Answer : addModule(m)

Explanation : addModule(m) API, Adds the given module to the network.

57 .

Which API Adds a connection to the network?

A)

CreateConnection(c)

B)

addConnection(c)

C)

includeConnection(c)

D)

appendConnection(c)

Correct Answer : addConnection(c)

Explanation : addConnection(c) API, Adds a connection to the network.

58 .

Which of the following is a method for training a neural network using a genetic algorithm in PyBrain?

A)

trainGA()

B)

trainEpochs()

C)

trainOnDataset()

D)

trainUntilConvergence()

Correct Answer : trainGA()

Explanation : The trainGA() method can be used to train a neural network using a genetic algorithm in PyBrain.

59 .

Which of the following is a method for training a neural network using backpropagation in PyBrain?

A)

trainEpochs()

B)

trainUntilConvergence()

C)

trainOnDataset()

D)

All of the above

Correct Answer : trainOnDataset()

Explanation : The trainOnDataset() method can be used to train a neural network using backpropagation in PyBrain.

60 .

Which of the following is a package for implementing deep learning algorithms in PyBrain?

A)

pybrain.tools

B)

pybrain.datasets

C)

pybrain.rl

D)

pybrain.nn

Correct Answer : pybrain.nn

Explanation : The pybrain.nn package provides tools for implementing deep learning algorithms in PyBrain.

61 .

Which of the following is a method for creating a recurrent neural network in PyBrain?

A)

createRNN()

B)

buildNetwork()

C)

RecurrentNetwork()

D)

All of the above

Correct Answer : RecurrentNetwork()

Explanation : The RecurrentNetwork() class can be used to create a recurrent neural network in PyBrain.

62 .

Which of the following is needed to be imported in Pybrain to create a feedforward network?

A)

pybrain import FeedForwardNetwork

B)

pybrain.form import FeedForwardNetwork

C)

pybrain.system import FeedForwardNetwork

D)

pybrain.structure import FeedForwardNetwork

Correct Answer : pybrain.structure import FeedForwardNetwork

Explanation : To create a feedforward network, we need to import it from pybrain structure as:- from pybrain.structure import FeedForwardNetwork

63 .

To create a layer, you need to use ____ class as the base class to create all types of layers.

A)

NeuronLayer class

B)

NeuroLayer class

C)

NeuronalLayer class

D)

None of the above

Correct Answer : NeuronLayer class

Explanation : To create a layer, you need to use NeuronLayer class as the base class to create all types of layers.

64 .

To link the agent to the environment, we need a unique component called ____.

A)

Job

B)

Task

C)

Experiment

D)

None of the above

Correct Answer : Task

Explanation : To link the agent to the environment, we need a unique component called to task.

65 .

What is MDP?

A)

Maze decision process

B)

Markov decision process

C)

Markup decision process

D)

None of the above

Correct Answer : Markov decision process

Explanation : MDP stands for Markov decision process.

66 .

Which of the following is a method for creating a Deep Belief Network in PyBrain?

A)

DBN()

B)

buildNetwork()

C)

createDBN()

D)

All of the above

Correct Answer : createDBN()

Explanation : The createDBN() method can be used to create a Deep Belief Network in PyBrain.

67 .

Which of the following is a method for training a Deep Belief Network in PyBrain?

A)

trainEpochs()

B)

trainOnDataset()

C)

trainUntilConvergence()

D)

trainUnsupervised()

Correct Answer : trainUnsupervised()

Explanation : The trainUnsupervised() method can be used to train a Deep Belief Network in PyBrain using unsupervised learning.

68 .

Which of the following is a method for creating a Convolutional Neural Network in PyBrain?

A)

createCNN()

B)

buildNetwork()

C)

ConvolutionalNetwork()

D)

All of the above

Correct Answer : ConvolutionalNetwork()

Explanation : The ConvolutionalNetwork() class can be used to create a Convolutional Neural Network in PyBrain.

69 .

How many parameters does the _forwardImplementation() function accepts?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 2

Explanation : The _forwardImplementation() function accepts two parameters, inbuf, and outbuf.

70 .

Which function computes the derivative of the output with regard to the input?

A)

_forwardImplementation()

B)

_backwardImplementation()

C)

Both (A) and (B)

D)

None of the above

Correct Answer : _backwardImplementation()

Explanation : The _backwardImplementation() function computes the derivative of the output with regard to the input.