Keras Practice Test
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Keras is an open-source library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML

Keras Practice Test
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25 Questions

1. The layers within the sequential models are known as ____?
2. To implement a densely-connected network, which of the following model gives better results?
3. Why do we use LSTM?
4. When sequential.pop() method raises a TypeError?
5. Which of the following permits you to evaluate the performance of your model?
6. Which Keras layer would you use if you want to repeat the input a fixed number of times?
7. TensorFlow is a product of which company?
8. Which of the following companies uses Keras?
9. Which functions in Keras help you to find faults or deviations in the learning process?
10. Which is slower, Keras or TensorFlow?
11. Who developed Keras?
12. which Keras layer would you use if you want to reduce overfitting in neural network models?
13. Which of the following functions offers you the list of all the input tensors in a model?
14. To revert back to the current name of the backend, which of the following backend functions would you use in Keras?
15. Does Keras run on a GPU?
16. What is GRU in Keras?
17. Which backend function in Keras returns the default image data format convention?
18. Is Keras capable of handling complex datasets?
19. Which layer in Keras is a widely used layer for creating a deeply connected layer in the neural network?
20. Which of the following principles does Keras follow to perform deep learning efficiently?
21. Which of the following backend functions in Keras offers you to enter the Keras graph?
22. Keras is a ____.
23. Which of the following has simpler architecture?
24. How many parameters does the compilation process take in Keras?
25. Is OpenCV a platform-independent library?

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