Top 80 Keras Multiple Choice Questions (MCQs) with Answers

1 .

Keras is written in which language?

A)

C

B)

C++

C)

Python

D)

Java

Correct Answer : Python

Explanation : Keras is written in python language.

2 .

Who invented keras?

A)

Sam Gross

B)

Adam Paszke

C)

Michael Berthold

D)

FranÃ§ois Chollet

Correct Answer : FranÃ§ois Chollet

Explanation : François Chollet (Born 20 October 1989) is a French software engineer and artificial intelligence researcher currently working at Google.

François Chollet is the creator of the Keras deep-learning library, released in 2015, and a main contributor to the TensorFlow machine learning framework.

3 .

When 'Keras Library' was Initially released?

A)

27 March 2017

B)

27 March 2015

C)

27 March 2011

D)

27 March 2007

Correct Answer : 27 March 2015

Explanation : François Chollet he is French software engineer and artificial intelligence researcher, Creator of the Keras deep-learning library, released in 27 March 2015, and a main contributor to the TensorFlow machine learning framework.

4 .

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

A)

model.layers

B)

model.inputs

C)

model.outputs

D)

model.get_weights

Correct Answer : model.layers

Explanation : model.layers : Returns all the layers of the model as list.

5 .

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

A)

Keras Time

B)

Keras Layer

C)

Keras Model

D)

Keras Module

Correct Answer : Keras Layer

Explanation : A Keras layer requires shape of the input (input_shape) to understand the structure of the input data, initializer to set the weight for each input and finally activators to transform the output to make it non-linear.

6 .

Which of the following is not a popular deep learning framework?

A)

Keras

B)

PyTorch

C)

Scikit-Learn

D)

TensorFlow

Correct Answer : Scikit-Learn

Explanation : Keras, TensorFlow, and PyTorch are all popular deep learning frameworks, whereas Scikit-Learn is a machine learning library.

7 .

Which of the following is true about Keras?

A)

Keras is a standalone library

B)

Keras is built on top of PyTorch

C)

Keras is built on top of Scikit-Learn

D)

Keras is built on top of TensorFlow

Correct Answer : Keras is built on top of TensorFlow

8 .

Keras is a which library?

A)

Neural network library

B)

Data science library

C)

Data testing library

D)

All of the above

Correct Answer : Neural network library

Explanation : Keras is a Neural Network Library.

9 .

Does Keras support convolutional or recurrent neural networks?

A)

Yes, it supports both

B)

Yes, it only supports convolutional network

C)

Yes, it only supports recurrent neural network

D)

None of the above

Correct Answer : Yes, it supports both

Explanation : Yes, Keras supports convolutional or recurrent neural networks both and it also supports their combination.

10 .

Does Keras handle low-level computations?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : No

Explanation : No, Keras cannot handle low-level computations.

11 .

Is TensorFlow capable of handling complex datasets?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : Yes

Explanation : Yes, TensorFlow is good with smaller datasets as well as with complex datasets.

12 .

Is Keras capable of handling complex datasets?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : No

Explanation : Keras is good with smaller datasets but not with complex datasets.

13 .

Which is slower, Keras or TensorFlow?

A)

Keras

B)

TensorFlow

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Keras

Explanation : Keras is slower than TensorFlow.

14 .

Which of the following are correct initializers in keras?

A)

keras.initializers.Ones()

B)

keras.initializers.Zeros()

C)

keras.initializers.Initializer()

D)

All of the above

Correct Answer : All of the above

Explanation : All of the above are correct initializers in keras.

15 .

_______ is a high level API built on TensorFlow.

A)

PyBrain

B)

PyTorch

C)

Keras

D)

Theano

Correct Answer : Keras

Explanation : Keras is a high level API built on TensorFlow (and can be used on top of Theano too). It is more user-friendly and easy to use as compared to TensofrFlow.

16 .

Which of the following is not a type of model that can be built using Keras?

A)

Recurrent model

B)

Decision tree model

C)

Sequential model

D)

Convolutional model

Correct Answer : Decision tree model

Explanation : Keras is primarily used for building deep learning models, such as sequential, convolutional, and recurrent models.

17 .

Which of the following is not a type of layer that can be used in a Keras model?

A)

SVM layer

B)

Dense layer

C)

Recurrent layer

D)

Convolutional layer

Correct Answer : SVM layer

Explanation : Keras does not have an SVM layer. Instead, you can use a dense layer with a linear activation function to implement an SVM.

18 .

How many backend engines does Keras consist of?

A)

1

B)

2

C)

3

D)

4

Correct Answer : 3

Explanation : Keras consist of three backend engines: Tensor flow, Theano, CNTK.

19 .

TensorFlow is a product of which company?

A)

Google

B)

IBM

C)

Oracle

D)

Microsoft

Correct Answer : Google

Explanation : TenserFlow is the product of Google.

20 .

Which of the following activities are performed by TensorFlow?

A)

Model tracking

B)

Model retraining

C)

Data automation

D)

All of the above

Correct Answer : All of the above

Explanation : TensorFlow helps us to perform the following activities :

* Model tracking
* Model retraining
* Data automation
* Performance monitoring

21 .

Which is more efficient, Keras or OpenCV?

A)

Keras

B)

OpenCV

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Keras

Explanation : Keras is more efficient than OpenCV.

22 .

Is OpenCV a platform-independent library?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : Yes

Explanation : OpenCV is platform-independent. It supports a variety of platforms.

23 .

OpenCV is useful for ____?

A)

Computer vision

B)

Machine learning

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Both (A) and (B)

Explanation : OpenCV is useful for Machine learning and Computer vision.

24 .

What do you mean by OpenCV?

A)

Open source common vision

B)

Open-source computer vision

C)

Open-source common visualization

D)

None of the above

Correct Answer : Open-source computer vision

Explanation : OpenCV is known as Open-source computer vision.

25 .

Which of the following is the correct syntax for importing Keras?

A)

import keras

B)

from keras import *

C)

import tensorflow.keras

D)

All of the above

Correct Answer : import tensorflow.keras

Explanation : While “import keras” is also a valid syntax, it is recommended to use “import tensorflow.keras” because Keras is now part of the TensorFlow library.

26 .

Which of the following is the correct syntax for adding a dense layer to a Keras model?

A)

model.add(DenseLayer(units=10, activation=â€™reluâ€™))

B)

model.add(DenseModel(units=10, activation=â€™reluâ€™))

C)

model.add(DenseNetwork(units=10, activation=â€™reluâ€™))

D)

model.add(Dense(units=10, activation=â€™reluâ€™))

Correct Answer : model.add(Dense(units=10, activation=â€™reluâ€™))

Explanation : The correct syntax for adding a dense layer to a Keras model is “model.add(Dense(units=10, activation=’relu’))”.

27 .

Which of the following is the correct syntax for creating a sequential model in Keras?

A)

model = Sequential()

B)

model = SequentialLayer()

C)

model = SequentialModel()

D)

model = SequentialNetwork()

Correct Answer : model = Sequential()

Explanation : The correct syntax for creating a sequential model in Keras is “model = Sequential()”.

28 .

TensorFlow can be only used with python?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : No

Explanation : TensorFlow can be used with wide variety of languages: Python, JavaScript, C++, and Java

29 .

Which kind of library Theano is?

A)

Machine learning

B)

Artificial intelligence

C)

Mathematical operation

D)

None of the above

Correct Answer : Mathematical operation

Explanation : Theano library performs mathematical operations on multi-dimensional arrays.

30 .

____ are the basic units of Convolutional Neural Networks?

A)

ReLU

B)

Pooling

C)

Neurons

D)

None of the above

Correct Answer : Neurons

Explanation : Neurons are the basic units of Convolutional Neural Networks.

31 .

How many layers does CNN consist of?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 3

Explanation : CNN consists of 3 layers: a pooling layer, and a fully connected layer, a convolutional layer.

32 .

Which of the following backend functions in Keras offers you to enter the Keras graph?

A)

Symbolic()

B)

Shape()

C)

Eager()

D)

Backend()

Correct Answer : Symbolic()

Explanation : Symbolic() backend function in Keras offers you to enter the Keras graph.

33 .

Which of the following principles does Keras follow to perform deep learning efficiently?

A)

Modularity

B)

Extensibility

C)

User-friendliness

D)

All of the above

Correct Answer : All of the above

Explanation : Modularity, User-friendliness, and Extensibility principle does Keras follow to perform deep learning efficiently.

34 .

In how many ways can you include your customized layer in Keras?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 2

Explanation : There are two ways in which you can customize the layer:Custom Class Layer, and Lambda Layer.

35 .

Which of the following activation functions is not available in Keras?

A)

Tanh

B)

ReLU

C)

Linear

D)

Sigmoid

Correct Answer : Linear

Explanation : Linear activation is not a separate activation function in Keras. Instead, it is the default activation function for the last layer of a regression model.

36 .

Which of the following loss functions is commonly used for multi-class classification problems in Keras?

A)

BinaryCross entropy

B)

CategoricalCrossentropy

C)

MeanSquaredError

D)

SparseCategoricalCrossentropy

Correct Answer : CategoricalCrossentropy

Explanation : The CategoricalCrossentropy loss function is commonly used for multi-class classification problems in Keras.

37 .

Which of the following loss functions is commonly used for binary classification problems in Keras?

A)

MeanSquaredError

B)

BinaryCrossentropy

C)

CategoricalCrossentropy

D)

SparseCategoricalCrossentropy

Correct Answer : BinaryCrossentropy

Explanation : The BinaryCrossentropy loss function is commonly used for binary classification problems in Keras.

38 .

tf.keras.backend.set_floatx(value) will return ____?

A)

Returns the default float type, as a string.

B)

Returns the default float type, as an integer.

C)

Returns the default float type, as a float number.

D)

Returns the default float and integer type, as a string.

Correct Answer : Returns the default float type, as a string.

Explanation : tf.keras.backend.set_floatx(value), will return the default float type, as a string.

39 .

To revert back to the current name of the backend, which of the following backend functions would you use in Keras?

A)

Backend()

B)

Backend.keras()

C)

keras.backend.backend()

D)

All of the above

Correct Answer : keras.backend.backend()

Explanation : keras.backend.backend() is used to revert to the current name of the backend.

40 .

Which backend function in Keras returns the default image data format convention?

A)

image_format()

B)

Format_image()

C)

Image_format_data()

D)

image_data_format()

Correct Answer : image_data_format()

Explanation : image_data_format function in Keras returns the default image data format convention.

41 .

Which of the following optimizers is not available in Keras?

A)

SGD

B)

Adam

C)

RProp

D)

RandomOptimizer

Correct Answer : RandomOptimizer

Explanation : RandomOptimizer is not a built-in optimizer in Keras.

42 .

Which of the following is the correct syntax for compiling a Keras model?

A)

model.compile(Adam, categorical_crossentropy, [â€˜accuracyâ€™])

B)

model.optimizer(â€˜adamâ€™).loss(â€˜categorical_crossentropyâ€™).metrics([â€˜accuracyâ€™]).compile()

C)

model.compile(optimizer=â€™adamâ€™, loss=â€™categorical_crossentropyâ€™, metrics=[â€˜accuracyâ€™])

D)

compile.model(optimizer=â€™adamâ€™, loss=â€™categorical_crossentropyâ€™, metrics=[â€˜accuracyâ€™])

Correct Answer : model.compile(optimizer=â€™adamâ€™, loss=â€™categorical_crossentropyâ€™, metrics=[â€˜accuracyâ€™])

Explanation : The correct syntax for compiling a Keras model is “model.compile(optimizer=’adam’, loss=’categorical_crossentropy’, metrics=[‘accuracy’])”.

43 .

Which of the following is the correct syntax for evaluating a Keras model?

A)

model.eval(X_test, y_test)

B)

model.evaluate(X_test, y_test)

C)

model.eval_data(X_test, y_test)

D)

model.evaluate_on_data(X_test, y_test)

Correct Answer : model.evaluate(X_test, y_test)

Explanation : The correct syntax for evaluating a Keras model is “model.evaluate(X_test, y_test)”.

44 .

Which of the following is the correct syntax for training a Keras model?

A)

model.fit(X_train, y_train, epochs=10, batch_size=32)

B)

model.train(X_train, y_train, epochs=10, batch_size=32)

C)

model.fit_data(X_train, y_train, epochs=10, batch_size=32)

D)

model.train_on_data(X_train, y_train, epochs=10, batch_size=32)

Correct Answer : model.fit(X_train, y_train, epochs=10, batch_size=32)

Explanation : The correct syntax for training a Keras model is “model.fit(X_train, y_train, epochs=10, batch_size=32)”.

45 .

How many arguments does the placeholder function take, in Keras?

A)

3

B)

4

C)

5

D)

6

Correct Answer : 5

Explanation : Placeholder function takes 5 arguments :

* shape
* Ndim
* dtype
* Sparse
* name

46 .

How many types of models does Keras provide?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 2

Explanation : Keras provides two types of models: A sequential Model and an advanced Model.

47 .

Which of the following is not a method of the Keras Sequential class?

A)

add()

B)

fit()

C)

predict()

D)

backward()

Correct Answer : backward()

Explanation : The Sequential class does not have a backward() method. Instead, it uses automatic differentiation to compute gradients during training.

48 .

What is the return value of the epsilon function?

A)

It returns the absolute factor

B)

It returns the fuzz factor

C)

It returns the floor division of an expression

D)

It returns the factorization of all the numbers used in an expression

Correct Answer : It returns the fuzz factor

Explanation : The epsilon function returns the fuzz factor.

49 .

Which of the following is the correct syntax for making predictions with a Keras model?

A)

predict.model(X_new)

B)

model.predict(X_new)

C)

model.predict_on_data(X_new)

D)

model.make_predictions(X_new)

Correct Answer : model.predict(X_new)

Explanation : The correct syntax for making predictions with a Keras model is “model.predict(X_new)”.

50 .

Which of the following permits you to evaluate the performance of your model?

A)

Keras metrics

B)

Keras loss function

C)

Keras optimizer function

D)

None of the above

Correct Answer : Keras metrics

Explanation : Keras metrics permit you to evaluate the performance of your model.

51 .

Which functions in Keras help you to find faults or deviations in the learning process?

A)

Keras metrics

B)

Keras loss function

C)

Keras optimizer function

D)

None of the above

Correct Answer : Keras loss function

Explanation : Keras loss function in Keras helps you to find faults or deviations in the learning process.

52 .

In which of the following layers, input is transformed into a standardized form?

A)

Noise Layer

B)

Pooling Layer

C)

Normalization Layer

D)

Recurrent Layer

Correct Answer : Normalization Layer

Explanation : In normalization, layer input is transformed into a standardized form.

53 .

Which of the following Keras models is known to be the simplest model and it constitutes a linear set of layers?

A)

Sequential Model

B)

Advanced Model

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Sequential Model

Explanation : Sequential Keras model is known to be the simplest model and it constitutes a linear set of layers.

54 .

The layers within the sequential models are known as ____?

A)

Sequential API

B)

Sequential Layer

C)

Sequential processes

D)

None of the above

Correct Answer : Sequential API

Explanation : The layers within the sequential models are known as sequential API.

55 .

Which of the following methods is used to add layers in a sequential model?

A)

Layers()

B)

Add()

C)

Add_layers()

D)

Layers_add()

Correct Answer : Add()

Explanation : Add() method is used to add layers in a sequential model.

56 .

Which of the following is a way to increase the capacity of a Keras model?

A)

Removing layers

B)

Increasing the learning rate

C)

Decreasing the number of neurons in each layer

D)

Increasing the number of neurons in each layer

Correct Answer : Increasing the number of neurons in each layer

Explanation : Increasing the number of neurons in each layer can increase the capacity of the model, allowing it to learn more complex patterns in the data.

57 .

Which of the following is a way to speed up training of a Keras model?

A)

Adding more layers

B)

Adding more training data

C)

Increasing the batch size

D)

Decreasing the learning rate

Correct Answer : Increasing the batch size

Explanation : Increasing the batch size can speed up training by allowing the model to process more examples at once, reducing the number of updates needed per epoch.

58 .

Which of the following is a way to prevent overfitting in a Keras model?

A)

Adding more layers

B)

Adding dropout layers

C)

Decreasing the batch size

D)

Increasing the learning rate

Correct Answer : Adding dropout layers

Explanation : Dropout layers randomly drop out some of the neurons during training, which can help prevent overfitting.

59 .

What is LSTM?

A)

Long short-term memory

B)

Lengthy short-term memory

C)

Longitude short-term memory

D)

None of the above

Correct Answer : Long short-term memory

Explanation : LSTM stands for Long short-term memory.

60 .

Why do we use LSTM?

A)

To learn sequential data

B)

To classify sequential data

C)

To process sequential data

D)

All of the above

Correct Answer : All of the above

Explanation : LSTM is used to learn, process, to classify sequential data.

61 .

How many parameters does the compilation process take in Keras?

A)

3

B)

4

C)

5

D)

6

Correct Answer : 3

Explanation : Three parameters that the compilation process takes in Keras: An optimizer, A loss function, and A list of metrics.

62 .

Which of the following Keras layers can be used for image classification tasks?

A)

LSTM

B)

Dense

C)

Conv2D

D)

Dropout

Correct Answer : Conv2D

Explanation : The Conv2D layer is commonly used for image classification tasks in Keras.

63 .

Which of the following Keras layers can be used for sequence prediction tasks?

A)

LSTM

B)

Dense

C)

Conv2D

D)

Dropout

Correct Answer : LSTM

Explanation : The LSTM layer is commonly used for sequence prediction tasks in Keras.

64 .

Which of the following Keras layers can be used for text classification tasks?

A)

LSTM

B)

Dense

C)

Conv2D

D)

Embedding

Correct Answer : Embedding

Explanation : The Embedding layer is commonly used for text classification tasks in Keras.

65 .

Which of the following Keras layers can be used for regularization?

A)

LSTM

B)

Dropout

C)

Conv2D

D)

MaxPooling2D

Correct Answer : Dropout

Explanation : The Dropout layer is commonly used for regularization in Keras, by randomly dropping out some of the neurons during training.

66 .

Which of the following functions offers you the list of all the input tensors in a model?

A)

Inputs()

B)

Input. Models()

C)

Models.inputs()

D)

None of the above

Correct Answer : Models.inputs()

Explanation : Model.inputs() function offers you the list of all the input tensors in a model.

67 .

To predict your model, which of the following methods would you use?

A)

Fit()

B)

Predict()

C)

Model()

D)

None of the above

Correct Answer : Predict()

Explanation : Predict method is used to predict the model.

68 .

To train your model in Keras, which of the following methods would you use?

A)

Fit()

B)

Model()

C)

Predict()

D)

None of the above

Correct Answer : Fit()

Explanation : The fit method is used to train the model in Keras.

69 .

Does Keras run on a GPU?

A)

Yes

B)

No

C)

Can Not Say

D)

None of the above

Correct Answer : Yes

Explanation : Keras run smoothly on GPU and CPU.

70 .

Which of the following companies uses Keras?

A)

Yelp

B)

Uber

C)

Netflix

D)

All of the above

Correct Answer : All of the above

Explanation : Companies like Netflix, Uber, and Yelp use Keras.

71 .

Which layer in Keras is a widely used layer for creating a deeply connected layer in the neural network?

A)

Dropout layer

B)

Flatten layer

C)

Permute layer

D)

Dense layer

Correct Answer : Dense layer

Explanation : Dense layer in Keras is widely used Keras layer for creating a deeply connected layer in the neural network.

72 .

Which of the following is not a common loss function used in Keras?

A)

Binary Crossentropy

B)

Gradient Descent

C)

Categorical Crossentropy

D)

Mean Squared Error (MSE)

Correct Answer : Gradient Descent

Explanation : Gradient Descent is an optimization algorithm, not a loss function. Mean Squared Error, Binary Crossentropy, and Categorical Crossentropy are all common loss functions used in Keras.

73 .

Models with shared layers, multi-outputs, and directed acyclic graphs can be defined using the ____?

A)

Keras functional API

B)

Keras sequential API

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Keras functional API

Explanation : Models with shared layers, multi-outputs, and directed acyclic graphs can be defined using the Keras functional API.

74 .

Which of the following API arranges the Keras layers in sequential order?

A)

Keras functional API

B)

Keras sequential API

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Keras sequential API

Explanation : Keras Sequential API arranges the Keras layers in sequential order.

75 .

What is GRU in Keras?

A)

Great recurrent unit

B)

Granted Recurrent unit

C)

Gated Recurrent unit

D)

None of the above

Correct Answer : Gated Recurrent unit

Explanation : GRU stands for the grated recurrent unit.

76 .

Who introduced LSTM?

A)

Pete Shinners

B)

Wes McKinney

C)

FranÃ§ois Chollet

D)

Hochreiter

Correct Answer : Hochreiter

Explanation : LSTM was introduced by Hochreiter.

77 .

Which of the following layers is capable of altering the shape of the input?

A)

Pooling layer

B)

Dropout layer

C)

Permute layer

D)

Reshape layer

Correct Answer : Reshape layer

Explanation : Reshape layer is capable of altering the shape of the input.

78 .

What does sequential.pop() method do?

A)

It helps in the removal of the last layer from the model.

B)

It helps in the removal of any layer from the model.

C)

It helps in the removal of the first layer from the model.

D)

All of the above

Correct Answer : It helps in the removal of the last layer from the model.

Explanation : Sequential.pop() functions help in the removal of the last layer from the model.

79 .

When sequential.pop() method raises a TypeError?

A)

When there is no layer within the model

B)

When there is the single layer within the model

C)

When there are more than 10 layers within the model

D)

None of the above

Correct Answer : When there is the single layer within the model

Explanation : sequential.pop() method raises a TypeError When there is a single layer within the model.

80 .

Which of the following is a fully connected layer whose output is sent back to the input?

A)

RNN layer

B)

Pooling layer

C)

SimpleRNN layer

D)

Embedding layer

Correct Answer : SimpleRNN layer

Explanation : SimpleRNN layer is a fully connected layer whose output is sent back to the input.