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Deep Learning Interview Preparation Course | 100 Q&A's
Highest Rated
Rating: 4.9 out of 5(102 ratings)
6,015 students

Deep Learning Interview Preparation Course | 100 Q&A's

Confidently Crack AI Interviews with Key Deep Learning Insights!
Highest Rated
Created byLunarTech AI
Last updated 7/2025
English

What you'll learn

  • Gain confidence in Deep Learning concepts, ensuring you stand out in technical interviews for AI roles.
  • Master neural network training and optimization, showcasing your expertise in AI problem-solving during interviews.
  • Build a strong foundation in advanced AI model development, impressing interviewers with your technical proficiency.
  • Acquire hands-on skills in autoencoders and VAEs, demonstrating your capability for innovative AI solutions.
  • Specialize in Convolutional and Recurrent Neural Networks, showcasing your readiness for complex AI challenges.
  • Develop an understanding of generative models, preparing you to discuss cutting-edge AI applications confidently.
  • Learn about GANs and Transformers, equipping you with current AI trends and technologies for interviews.
  • Enhance your AI skill set comprehensively, boosting your confidence and performance in competitive AI job interviews.

Course content

2 sections • 102 lectures • 9h 26m total length

  • Q1 - What is Deep Learning4:06

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 1: What is Deep Learning?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q2 - How does Deep Learning differ from traditional Machine Learning?4:13

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 2: How does Deep Learning differ from traditional Machine Learning?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q3 - What is a Neural Network?7:13

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 3: What is a Neural Network?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learnerss and Algorithms Book: https://myworkspace39fd2.myclickfunnels.com/data-structures-fundamentals?

  • Q4 - Explain the concept of a neuron in Deep Learning.3:33

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 4: Explain the concept of a neuron in Deep Learning.


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q5 - Explain architecture of Neural Networks in simple way7:52

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 5: Explain architecture of Neural Networks in simple way


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q6 - What is an activation function in a Neural Network?4:00

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 6: What is an activation function in a Neural Network?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q7 - Name few popular activation functions and describe them13:42

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 7: Name few popular activation functions and describe them


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q8 - What happens if you do not use any activation functions in a NN?1:26

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 8: What happens if you do not use any activation functions in a NN?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q9 - Describe how training of basic Neural Networks works5:52

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 9: Describe how training of basic Neural Networks works


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q10 - What is Gradient Descent?10:40

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 10: What is Gradient Descent?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q11 - What is the function of an optimizer in Deep Learning?5:33

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 11: What is the function of an optimization in Deep Learning?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q12 - What is backpropagation, and why is it important in Deep Learning?8:38

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 12: What is backpropagation, and why is it important in Deep Learning?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q13 - How is backpropagation different from gradient descent?3:04

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 13: How is backpropagation different from gradient descent?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q14 - Describe what Vanishing Gradient Problem is and it’s impact on NN7:00

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 14: Describe what Vanishing Gradient Problem is and it's impact on NN


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q15 - Describe what Exploding Gradients Problem is and it’s impact on NN8:30

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 15: Describe what Exploding Gradients Problem is and it's impact on NN


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q16 - There is a neuron results in a large error in backpropagation. Reason?4:39

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 16: There is a neuron results in a large error in backpropogation. Reason?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q17 - What do you understand by a computational graph?6:17

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 17:  What do you understand by a computational graph?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q18 - What is Loss Function and what are various Loss functions used in DL?6:38

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 18: What is Loss Function and what are various Loss functions used in DL?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q19 - What is Cross Entropy loss function and how is it called in industry?3:40

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 19: What is Cross Entropy loss function and how is it called in Industry?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q20 - Why is Cross-entropy favored in multi-class classification?3:39
  • Q21 - What is SGD and why it’s used in training Neural Networks?6:10

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 21: What is SGD and why it's used in training Neural Networks?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q22 - Why does stochastic gradient descent oscillate towards local minima?5:51

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 22: Why does stochastic gradient descent oscillate towards local minima? 

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q23 - How is GD different from SGD?5:18

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 23: How is GD different from SGD?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q24 - How can optimization methods like GD be improved?6:59

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 24: How can optimization methods like GD be improved?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q25 - Compare batch GD, minibatch GD, and SGD.5:26

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 25: Compare batch GD, minibatch GD, and SGD

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q26 - How to decide batch size in deep learning?7:45

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 26: How to decide batch size in deep learning?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q27 - How does the batch size impact the performance of a deep learning model?4:09

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 27: How does the batch size impact the performance of a deep learning model?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q28 - What is Hessian, and how can it be used for faster training?5:35

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 28: What is Hessian, and how can it be used for faster training?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q29 - What is RMSProp and how does it work?5:27

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Interview Question 29: What is RMSProp and how does it work?

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q30 - Discuss the concept of an adaptive learning rate.5:27

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q31 - What is Adam and why is it used most of the time in NNs?7:02

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q32 - What is AdamW and why it’s preferred over Adam?5:56

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q33 - What is Batch Normalization and why it’s used in NN?9:24

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q34 - What is Layer Normalization, and why it’s used in NN?3:38

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q35 - What are Residual Connections and their function in NN?9:22

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q36 - What is Gradient clipping and their impact on NN?3:40

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q37 - What is Xavier Initialization and why it’s used in NN?4:59

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q38 - What are different ways to solve Vanishing gradients?4:11

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q39 - What are ways to solve Exploding Gradients?2:09

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q40 - What's the impact of overfitting in neural networks with large weights?3:31

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q41 - What is Dropout and how does it work?5:18

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q42 - How does Dropout prevent overfitting in NN?1:38

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q43 - Is Dropout like Random Forest?4:41

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q44 - What is the impact of Drop Out on the training vs testing?2:35

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q45 - What are L2/L1 Regularizations and how do they prevent overfitting in NN?4:15

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q46 - What is the difference between L1 and L2 regularizations in NN?4:58

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q47 - How do L1 vs L2 Regularization impact the Weights in a NN?2:48

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q48 - What is the curse of dimensionality in ML or AI?2:27

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q49 - How deep learning models tackle the curse of dimensionality?4:04

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q50 - What are Generative Models, give examples?3:52

    LunarTech’s Deep Learning Interview Course | Part 1 ?


    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q51 - What are Discriminative Models, give examples?3:03

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q52 - What is the difference between generative and discriminative models?8:34

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q53 - What are Autoencoders and How Do They Work?4:30

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q54 - What is the Difference Between Autoencoders and Other Neural Networks?4:31

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q55 - What are some popular autoencoders, mention few?1:24

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q56 - What is the role of the Loss function in Autoencoders1:03

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q57 - How do autoencoders differ from (PCA)?2:20

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q58 - Which one is better for reconstruction linear autoencoder or PCA?3:26

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q59 - How can you recreate PCA with neural networks?6:30

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q60 - Can You Explain How Autoencoders Can be Used for Anomaly Detection?10:35

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q61 - What are some applications of AutoEncoders?2:19

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q62 - How can uncertainty be introduced into Autoencoders?4:08

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q63 - Can you explain what VAE is and describe its training process?3:17

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q64 - Explain what Kullback-Leibler (KL) divergence is3:47

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q65 - Can you explain what reconstruction loss is & it’s function in VAEs?1:01

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q66 - What is ELBO & What is this trade-off between reconstruction quality?4:34

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q67 - Can you explain the training & optimization process of VAEs?3:48

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q68 - Balancing VAE reconstruction and latent space?3:11

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q69 - What is Reparametrization trick and why is it important?4:14

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q70 - What is DGG: Deep Clustering with Gaussian-mixture VAE and Graph Embedding1:44

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q71 - Neural net vs. logistic regression comparison?2:23

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q72 - Do all gradients converge in logistic regression?1:05

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q73 - What is a Convolutional Neural Network?5:08

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q74 - What is padding and why it’s used in Convolutional Neural Networks (CNNs)?2:01

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q75 - Padded Convolutions: What are Valid and Same Paddings?13:17

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q76 - What is stride in CNN and why is it used?5:42

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q77 - What is the impact of Stride size on CNNs?2:27

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q78 - What is Pooling, what is the intuition behind it and why is it used in CNN9:11

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q79 - What are common types of pooling in CNN?2:48

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q80 - Why min pooling is not used?3:46

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q81 - What is translation invariance and why is it important?1:35

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q82 - How does a 1D Convolutional Neural Network (CNN) work?2:54

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q83 - What are Recurrent Neural Networks?7:08

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q84 - What are the main disadvantages of RNNs?1:29

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q85 - What are some applications of RNN?6:15

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q86 - How do you fix Vanishing Gradient in RNNs?5:04

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q87 - What are LSTMs and their key components?5:23

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q88 - What limitations of RNN that LSTMs do and don’t address and how?6:15

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q89 - What is a gated recurrent unit (GRU) and how is it different from LSTMs?3:34

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q90 - How do GANs and their components work?6:16

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q91 - Describe how you would use GANs for image translation4:09

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q92 - How would you address mode collapse and vanishing gradients in GAN?4:11

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q94 - What are token embeddings and what is their function?6:00

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q95 - What is the self-attention mechanism?11:25

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q96 - What is Multi-Head Self-Attention?6:53

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q97 - Transformers vs. RNN/LSTM limitations?5:51

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q98 - Walk me through the architecture of transformers.8:55

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q99 - What are positional encodings and how are they calculated?5:47

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

  • Q100 - Purpose of positional encodings in Transformers?2:12

    Instructor: Tatev Aslanyan

    Powered by LunarTech


    What You'll Learn:


    - 100+ Interview Questions with In-Depth Answers

    - Essential Concepts in Deep Learning, Data Science, and Machine Learning

    - Advanced Strategies for AI Engineering Interviews


    Curated Content for FAANG and Top Tech Company Interviews

    Suitable for Beginners and Advanced Learners

Requirements

  • Proficiency in Linear Algebra
  • Understanding of Machine Learning Fundamentals
  • Knowledge of Statistics Fundamentals

Description

Deep Learning Interview Prep: Navigate 100 Q&A's to Professional Success


Step into the world of AI with our Deep Learning Interview Preparation Course, designed to streamline your path to expertise in the field. With 100 targeted Q&A's, this course equips you with the knowledge to excel in the most demanding tech interviews.


Why Choose Our Course?

  • Gain clarity on Deep Learning without the jargon, no advanced degree required.

  • Learn the intricacies of AI that put you ahead in interviews with industry leaders.

  • Access practical examples and straightforward explanations to reinforce learning.

  • Join a network of learners and experts for peer learning and professional growth.


Course Outcomes:

  • Solid understanding of Deep Learning, making you a credible candidate for AI roles.

  • Hands-on knowledge of neural network operations, enhancing your problem-solving skills.

  • Ability to discuss Deep Learning principles confidently with potential employers.

  • Insight into advanced AI, setting the stage for ongoing career advancement.


Ideal For:

  • Aspiring AI professionals aiming to excel in job interviews.

  • Individuals seeking clear and concise Deep Learning knowledge.

  • Professionals transitioning into tech, aiming for a strong industry impact.

  • Anyone driven to integrate AI expertise into their career trajectory.


Ready to take the next step in your AI career? Enroll now to convert your curiosity into expertise, and become the AI expert that top-tier tech firms are looking for.

Who this course is for:

  • This course is ideal for tech professionals seeking to pivot into AI, providing the deep learning interview know-how needed to advance your career.

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