Keras MCQ Questions & Answers

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

1. _________ is a high level API built on TensorFlow.

A. PyBrain
B. Keras
C. PyTorch
D. Theano

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2. Is keras a library?

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

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3. Who invented keras?

A. Michael Berthold
B. Adam Paszke
C. Sam Gross
D. Fran├žois Chollet

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4. __________ is a regularization technique for neural network models proposed by Srivastava, it is a technique where randomly selected neurons are ignored during training.

A. Callout
B. Digout
C. Dropout
D. Knimeout

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5. What is true about Keras?

A. Keras is an API designed for human beings, not machines.
B. Keras follows best practices for reducing cognitive load
C. it provides clear and actionable feedback upon user error
D. All of the above

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6. A flatten operation on a tensor reshapes the tensor to have a shape that is equal to the number of elements contained in the tensor.

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

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7. What are advanced activation functions in keras ?

A. LeakyReLU
B. PReLU
C. Both A and B
D. None of the above

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8. Which of the following are correct initializers in keras?

A. keras.initializers.Initializer()
B. keras.initializers.Zeros()
C. keras.initializers.Ones()
D. All of the above

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9. A ____________ requires shape of the input (input_shape) to understand the structure of the input data.

A. Keras layer
B. Keras Module
C. Keras Model
D. Keras Time

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10. Which of the following returns all the layers of the model as list?

A. model.inputs
B. model.layers
C. model.outputs
D. model.get_weights

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