Deep Learning(ML) QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which of the following neural networks has a memory?

CNN

Question: 2

Which is the following is true about neurons?

A neuron has a single input and only single output

A neuron has multiple inputs and multiple outputs

A neuron has a single input and multiple outputs

All of the above

Question: 3

Which of the following is an example of deep learning?

Self-driving cars

Pattern recognition

Natural language processing

All of the above

Question: 4

Which of the following statement is not correct?

Neural networks mimic the human brain

It can only work for a single input and a single output

It can be used in image processing

None

Question: 5

Autoencoder is an example of-

Deep learning

Machine learning

Data mining

None

Question: 6

Which of the following deep learning models uses back propagation?

Convolutional Neural Network

Multilayer Perceptron Network

Recurrent Neural Network

All of the above

Question: 7

Which of the following steps can be taken to prevent overfitting in a neural network?

Dropout of neurons

Early stopping

Batch normalization

All of the above

Question: 8

Neural networks can be used in-

Regression problems

Classification problems

Clustering problems

All of the above

Question: 9

In a classification problem, which of the following activation function is most widely used in the output layer of neural networks?

Sigmoid function

Hyperbolic function

Rectifier function

All of the above

Question: 10

Which of the following is a deep learning library?

Tensorflow

Keras

PyTorch

All of the above

Question: 11

Which of the following is true about bias?

Bias is inherent in any predictive model

Bias impacts the output of the neurons

Both A and B

None

Question: 12

What is the purpose of a loss function?

Calculate the error value of the forward network

Optimize the error values according to the error rate

Both A and B

None

Question: 13

Which of the following is a loss function?

Sigmoid function

Cross entropy

ReLu

All of the above

Question: 14

Which of the following loss function is used in regression?

Logarithmic loss

Cross entropy

Mean squared error

None

Question: 15

Suppose you have a dataset from where you have to predict three classes. Then which of the following configuration you should use in the output layer?

Activation function = softmax, loss function = cross entropy

Activation function = sigmoid, loss function = cross entropy

Activation function = softmax, loss function = mean squared error

Activation function = sigmoid, loss function = mean squared error

Question: 16

What is gradient descent?

Activation function

Loss function

Optimization algorithm

None

Question: 17

What does a gradient descent algorithm do?

Tries to find the parameters of a model that minimizes the cost function

Adjusts the weights at the input layers

Both A and B

None

Question: 18

Which of the following activation function can not be used in the output layer of an image classification model?

ReLu

Softmax

Sigmoid

None

Question: 19

For a binary classification problem, which of the following activation function is used?

ReLu

Softmax

Sigmoid

None

Question: 20

Which of the following makes a neural network non-linear?

Convolution function

Batch gradient descent

Rectified linear unit

All of the above

Question: 21

In a neural network, which of the following causes the loss not to decrease faster?

Stuck at a local minima

High regularization parameter

Slow learning rate

All of the above

Question: 22

For an image classification task, which of the following deep learning algorithm is best suited?

Recurrent Neural Network

Multi-Layer Perceptron

Convolution Neural Network

All of the above

Question: 23

Suppose the number of nodes in the input layer is 5 and the hidden layer is 10. The maximum number of connections from the input layer to the hidden layer would be-

More than 50

Less than 50

None

Question: 24

Which of the following is true about dropout?

Applied in the hidden layer nodes

Applied in the output layer nodes

Both A and B

None

Question: 25

Which of the following is a correct order for the Convolutional Neural Network operation?

Convolution -> max pooling -> flattening -> full connection

Max pooling -> convolution -> flattening -> full connection

Flattening -> max pooling -> convolution -> full connection

None

Question: 26

Convolutional Neural Network is used in-

Image classification

Text classification

Computer vision

All of the above

Question: 27

Which of the following neural network model has a shared weight structure?

Recurrent Neural Network

Convolution Neural Network

Both A and B

None

Question: 28

LSTM is a variation of-

Convolutional Neural Network

Recurrent Neural Network

Multi Layer Perceptron Network

None

Question: 29

Which of the following neural networks is the best for machine translation?

1D Convolutional Neural Network

2D Convolutional Neural Network

Recurrent Neural Network

None

Question: 30

Which of the following neural networks has a memory?

1D CNN

2D CNN

LSTM

None

Deep Learning(ML) QUIZ (MCQ QUESTIONS AND ANSWERS)

TIME:20:00

Time:20:00

Which of the following neural networks has a memory?

Which is the following is true about neurons?

Which of the following is an example of deep learning?

Which of the following statement is not correct?

Autoencoder is an example of-

Which of the following deep learning models uses back propagation?

Which of the following steps can be taken to prevent overfitting in a neural network?

Neural networks can be used in-

In a classification problem, which of the following activation function is most widely used in the output layer of neural networks?

Which of the following is a deep learning library?

Which of the following is true about bias?

What is the purpose of a loss function?

Which of the following is a loss function?

Which of the following loss function is used in regression?

Suppose you have a dataset from where you have to predict three classes. Then which of the following configuration you should use in the output layer?

What is gradient descent?

What does a gradient descent algorithm do?

Which of the following activation function can not be used in the output layer of an image classification model?

For a binary classification problem, which of the following activation function is used?

Which of the following makes a neural network non-linear?

In a neural network, which of the following causes the loss not to decrease faster?

For an image classification task, which of the following deep learning algorithm is best suited?

Suppose the number of nodes in the input layer is 5 and the hidden layer is 10. The maximum number of connections from the input layer to the hidden layer would be-

Which of the following is true about dropout?

Which of the following is a correct order for the Convolutional Neural Network operation?

Convolutional Neural Network is used in-

Which of the following neural network model has a shared weight structure?

LSTM is a variation of-

Which of the following neural networks is the best for machine translation?

Which of the following neural networks has a memory?