Top Keras Interview Questions for Freshers & Experienced (2024)

Get the list of important basic and advanced Keras interview questions and answers for jobs (freshers, entry-level, experienced) in IT/Software companies.

Keras Interview Questions for Placement in IT & Software Companies (2024)

Here we have listed some Keras technical interview questions that are suitable for both freshers and experienced professionals at any level. These Keras interview questions with answers will help candidates pass the technical round interview.

Basic Keras Interview Questions and Answers for Freshers

If you are planning to crack any intermediate-level Keras technical round interview in the coming days, basic Keras interview questions for freshers will be the deciding factor in the entry-level job interview.

In this article, we are trying to provide some of the important beginner-level Keras interview questions with answers which are to the point. Here you will get the list of important Keras interview questions that will really help you in your placement preparation.

Keras Interview Questions and Answers for Experienced Professionals

A skilled Keras professional will help the company grow. So, during the hiring process, a company will always try to recruit potential candidates by asking the best Keras interview questions to check if the interviewee has advanced Keras skills/techniques. Therefore, advanced-level Keras technical interview preparation is a process that should be approached carefully.

Here we have listed some advanced-level Keras questions for professionals with years experience of working in Keras.

How to prepare for Keras Interview?

Your success in the Keras interview depends on pre-interview preparation. Here are some quick pointers to keep in mind:

• Review the Keras job description.
• Consider your eligibility for the job.
• Prepare a list of expected Keras interview questions.
• Practice Keras mock interviews.

The 5 most common Keras Interview Questions

Here are the 5 most popular questions asked in almost any Keras interview:

• Q #1) What is Keras and its applications?
• Q #2) What are the major features of Keras?
• Q #3) What technical certifications do you hold?
• Q #4) What do you do to improve your skills in Keras?
• Q #5) What technical websites do you follow?

Keras Interview Questions for Freshers and Experienced Professionals

1. What makes Keras special?
2. What is Keras and why it is used?
3. What is Keras and TensorFlow?
4. What is in Keras?
5. What is Keras in CNN?
6. Why Keras is an API?
7. Is Keras enough for deep learning?
8. Why keras is used in Python?
9. Is Keras easier than TensorFlow?
10. What is Keras JSON?
11. What is Keras model in machine learning?
12. Where is Keras used?
13. What is the difference between PyTorch and Keras?
14. Is Keras installed with TensorFlow?
15. How many models are in Keras?
16. What are Keras layers?
17. What are the advantages of keras?
18. Is TensorFlow and keras same?
19. What is the backend of Keras?
20. What is epochs in Keras?
21. What is Keras in Java?
22. How do I create a neural network in Keras?
23. What is Keras sequential API?
24. Is Keras good for research?
25. Can keras run without TensorFlow?
26. Which is better PyTorch or TensorFlow or keras?
27. Does Anaconda install Keras?
28. How do I install Keras?
29. What is Keras class?
30. How does Keras model work?
31. What are different types of models in Keras?
32. What is lambda in Keras?
33. Why keras is used in Python?
34. Why is keras used in machine learning?
35. What is keras in CNN?
36. Is Keras enough for deep learning?
37. How can I practice Keras?

Common Topics to Consider for Keras Interview

• Installation of Keras library in Anaconda interview questions.
• Keras Backends interview questions.
• Keras Models interview questions.
• Keras layers interview questions.
• Keras Model class interview questions.
• Keras Sequential class interview questions.
• Keras Core Layers interview questions.
• Convolutional Layer interview questions.
• Pooling Layers interview questions.
• Locally-Connected layers interview questions.
• Recurrent Layers interview questions.
• Embedding Layers interview questions.
• Keras Merge Layers interview questions.
• Deep Learning interview questions.
• Artificial Neural Network interview questions.
• Convolutional Neural Network interview questions.
• Recurrent Neural Network interview questions.
• Self-Organizing Maps interview questions.
• Mega Case Study interview questions.
• Restricted Boltzmann Machine interview questions.

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