Freshers (0–2 years)

Deep Learning Interview Questions for Freshers

Preparing for your first Deep Learning interviews? This set is curated for freshers and early-career developers (0–2 years): the 27 questions that come up most for entry-level roles, each with a clear answer, example code and follow-ups.

27Questions14Beginner13Intermediate

27 Deep Learning questions

  1. 1What is Embedding in Deep Learning?Intermediate
  2. 2What is Gradient Clipping and why is it important?Intermediate
  3. 3What is the difference between CNNs, RNNs, and Transformers?Intermediate
  4. 4What is Attention Mechanism in Deep Learning?Intermediate
  5. 5What are Transformers in Deep Learning and why did they revolutionize AI?Intermediate
  6. 6What is the difference between underfitting and overfitting in Deep Learning?Intermediate
  7. 7What is Transfer Learning in Deep Learning?Intermediate
  8. 8What are LSTM networks and why are they better than traditional RNNs?Intermediate
  9. 9What is Dropout and how does it prevent overfitting?Intermediate
  10. 10What is Batch Normalization and why is it important in Deep Learning?Intermediate
  11. 11What is the purpose of pooling layers in CNNs?Beginner
  12. 12What is a Recurrent Neural Network (RNN)?Beginner
  13. 13What is a Convolutional Neural Network (CNN)?Beginner
  14. 14What is overfitting in Deep Learning and how can it be prevented?Beginner
  15. 15What is the vanishing gradient problem in Deep Learning?Beginner
  16. 16What is gradient descent in Deep Learning?Beginner
  17. 17What is backpropagation in neural networks?Beginner
  18. 18What is an activation function in Deep Learning?Beginner
  19. 19What is an Artificial Neural Network (ANN)?Beginner
  20. 20What is Deep Learning and how is it different from Machine Learning?Beginner
  21. 21What is Deep Learning and how is it different from Machine Learning?Beginner
  22. 22What is a Neural Network?Beginner
  23. 23Deep Learning Interview Question 2 (Free)Intermediate
  24. 24Deep Learning Interview Question 5 (Free)Intermediate
  25. 25Deep Learning Advanced Interview Question 10Beginner
  26. 26Deep Learning Advanced Interview Question 8Intermediate
  27. 27Deep Learning Advanced Interview Question 7Beginner

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Frequently asked questions

Which Deep Learning questions do freshers (0–2 years) get asked?

This page collects 27 Deep Learning interview questions aligned with freshers (0–2 years), ranging across the difficulty levels that match that experience band.

How do I prepare for a Deep Learning interview with my experience level?

Work through these questions in order, make sure you can explain each answer out loud, and pay attention to the real-world examples and follow-ups — interviewers at this level care as much about reasoning as the final answer.

Do the answers include code and examples?

Yes — answers include explanations, code examples where relevant, common mistakes to avoid and follow-up questions so you are ready for the full interview conversation.