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
View Answer
Ans : C
Explanation: Pybrain is an open-source library for Machine learning implemented using python.
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
View Answer
Ans : B
Explanation: 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.
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
View Answer
Ans : D
Explanation: All of the above are advantages of Pybrain.
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
View Answer
Ans : A
Explanation: 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.
5. To create a network in pybrain, we have to use ____________ api.
A. createNetwork
B. openNetwork
C. buildNetwork
D. feedNetwork
View Answer
Ans : C
Explanation: We are going to use python interpreter to execute our code. To create a network in pybrain, we have to use buildNetwork api
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
View Answer
Ans : D
Explanation: To create a dataset we need to use the pybrain dataset package: pybrain.datasets.
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
View Answer
Ans : B
Explanation: 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).
8. SupervisedDataSet consists of fields of input and target.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, SupervisedDataSet consists of fields of input and target.
9. Which of the following are datasets classes?
A. SupervisedDataset
B. SequentialDataset
C. ClassificationDataSet
D. All of the above
View Answer
Ans : D
Explanation: Pybrain supports datasets classes like SupervisedDataset, SequentialDataset, ClassificationDataSet.
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
View Answer
Ans : A
Explanation: Yes, To create a feedforward network, we need to import it from pybrain.structure.
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