Explore topic-wise MCQs in Technical MCQs.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.

1.

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
E.
Answer» C. model.outputs
2.

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
Answer» B. Keras Module
3.

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
Answer» E.
4.

What are advanced activation functions in keras ?

A. LeakyReLU
B. PReLU
C. Both A and B
D. None of the above
Answer» D. None of the above
5.

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
Answer» B. FALSE
6.

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
Answer» E.
7.

__________ 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
Answer» D. Knimeout
8.

Who invented keras?

A. Michael Berthold
B. Adam Paszke
C. Sam Gross
D. François Chollet
Answer» E.
9.

Is keras a library?

A. Yes
B. No
C. Can be yes or no
D. Can not say
Answer» B. No
10.

_________ is a high level API built on TensorFlow.

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