PyBrain MCQ Questions And Answers - Machine Learning Libraries

PyBrain MCQs : This section focuses on "basics" of PyBrain. These Multiple Choice Questions (MCQ) should be practiced to improve the PyBrain skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

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

A. Java
B. C
C. Python
D. R

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2. 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-forward Network
C. feed-backward network
D. None of the above

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3. Which of the following are advantages of Pybrain?

A. Pybrain is an open-source free library to learn Machine Learning
B. Pybrain works easily with other libraries of python to visualize data
C. Training and testing of data are easy using Pybrain trainers
D. All of the above

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4. 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. Supervised Learning
B. Unsupervised Learning
C. Modules
D. BackpropTrainer

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

A. createNetwork
B. openNetwork
C. buildNetwork
D. feedNetwork

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

A. pybrain.sets
B. pybrain.data
C. py.datasets
D. pybrain.datasets

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

A. TrainUntilConvergence
B. BackpropTrainer
C. SequentialTrainer
D. All of the above

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8. SupervisedDataSet consists of fields of input and target.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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9. Which of the following are datasets classes?

A. SupervisedDataset
B. SequentialDataset
C. ClassificationDataSet
D. All of the above

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10. To create a feedforward network, we need to import it from pybrain.structure.

A. Yes
B. No
C. Can be yes or no
D. Can not say

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