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Deep Learning quiz 2

Total questions: 12

Worksheet time: 12mins

Name
Class
Date
1.

Batch normalization helps to prevent?

a)

Activation function to become too high or low

b)

The training speed to become too slow

c)

Both A and B

d)

None

2.

Convolutional Neural Network is used in?

a)

Image classification

b)

Text Classification

c)

Computer vission

d)

All of the above

3.

Which of the following Neural networks has a memory?

a)

1D CNN

b)

2D CNN

c)

LSTM

d)

None

4.

In Neural Networks, which of the following causes the loss not to decrease faster?

a)

Stuck at a local minima

b)

High regularization parameter

c)

Slow learning rate

d)

All of the above

5.

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

a)

ReLu

b)

Softmax

c)

Sigmoid

d)

None

6.

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

a)

Activation function = softmax, loss function = cross entropy

b)

Activation function = sigmoid, loss function = cross entropy

c)

Activation function = softmax, loss function = mean squared error

d)

Activation function = sigmoid, loss function = mean squared error

7.

Which of the following is true about bias?

a)

Bias is inherent in any predictive model

b)

Bias impacts the output of the neurons

c)

Both A and B

d)

None

8.

Neural Networks can be used in?

a)

Regression problems

b)

Classification problems

c)

Clustering problems

d)

All of the above

9.

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

a)

Sigmoid function

b)

Hyperbolic function

c)

Rectifier function

d)

All of the above

10.

Which of the following steps can be taken to prevent overfitting in Neural Networks?

a)

Dropout Neurons

b)

Early Stopping

c)

Batch Normalization

d)

All of the above

11.

Which of the following deep learning models uses back propagation?

a)

Convolutional Neural Network

b)

Multiplayer Perception Network

c)

Recurrent Neural Network

d)

All of the above

12.
a)

AND

b)

NAND (meaning "NOT AND")

c)

OR

d)

XOR