What is BackpropTrainer? - PyBrain Quiz

PyBrain - Quiz(MCQ)

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.

Recently Updated in PyBrain Questions

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.

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.

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.

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