Quiz Topic - Deep Learning

1. Which is the following is true about neurons?

view answer: D. All of the above
2. Which of the following is an example of deep learning?

view answer: D. All of the above
3. Which of the following statement is not correct?

view answer: B. It can only work for a single input and a single output
4. Autoencoder is an example of-

view answer: A. Deep learning
5. Which of the following deep learning models uses back propagation?

view answer: C. Recurrent Neural Network
6. Which of the following steps can be taken to prevent overfitting in a neural network?

view answer: D. All of the above
7. Neural networks can be used in-

view answer: D. All of the above
8. In a classification problem, which of the following activation function is most widely used in the output layer of neural networks?

view answer: A. Sigmoid function
9. Which of the following is a deep learning library?

view answer: D. All of the above
10. Which of the following is true about bias?

view answer: C. Both A and B
11. What is the purpose of a loss function?

view answer: C. Both A and B
12. Which of the following is a loss function?

view answer: B. Cross entropy
13. Which of the following loss function is used in regression?

view answer: C. Mean squared error
14. 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?

view answer: A. Activation function = softmax, loss function = cross entropy
15. What is gradient descent?

view answer: C. Optimization algorithm
16. What does a gradient descent algorithm do?

view answer: C. Both A and B
17. Which of the following activation function can not be used in the output layer of an image classification model?

view answer: A. ReLu
18. For a binary classification problem, which of the following activation function is used?

view answer: C. Sigmoid
19. Which of the following makes a neural network non-linear?

view answer: C. Rectified linear unit
20. In a neural network, which of the following causes the loss not to decrease faster?

view answer: D. All of the above
21. For an image classification task, which of the following deep learning algorithm is best suited?

view answer: C. Convolution Neural Network
22. 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-

view answer: C. 50
23. Which of the following is true about dropout?

view answer: A. Applied in the hidden layer nodes
24. Which of the following is a correct order for the Convolutional Neural Network operation?

view answer: A. Convolution -> max pooling -> flattening -> full connection
25. Convolutional Neural Network is used in-

view answer: D. All of the above
26. Which of the following neural network model has a shared weight structure?

view answer: C. Both A and B
27. LSTM is a variation of-

view answer: B. Recurrent Neural Network
28. Which of the following neural networks is the best for machine translation?

view answer: C. Recurrent Neural Network
29. Which of the following neural networks has a memory?

view answer: C. LSTM
30. Batch normalization helps to prevent-

view answer: C. Both A and B

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