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Deep Learning Interview Questions And Answers | AI & Deep Learning Interview Questions | Simplilearn

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🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=JYMKEM5c7PU&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=JYMKEM5c7PU&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JYMKEM5c7PU&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=JYMKEM5c7PU&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=JYMKEM5c7PU&utm_medium=DescriptionFirstFold&utm_source=Youtube This Deep Learning interview questions and answers video will help you prepare for Deep Learning interviews. This video is ideal for both beginners as well as professionals who are appearing for Deep Learning, Machine Learning or Data Science interviews. Learn what are the most important Deep Learning interview questions and answers and know what will set you apart in the interview process. Some of the important Deep Learning interview questions are listed below: 1. What is Deep Learning? 2. What is a Neural Network? 3. What is a Multilayer Perceptron (MLP)? 4. What is Data Normalization and why do we need it? 5. What is a Boltzmann Machine? 6. What is the role of Activation Functions in neural network? 7. What is a cost function? 8. What is Gradient Descent? 9. What do you understand by Backpropagation? 10. What is the difference between Feedforward Neural Network and Recurrent Neural Network? 11. What are some applications of Recurrent Neural Network? 12. What are Softmax and ReLU functions? 13. What are hyperparameters? 14. What will happen if learning rate is set too low or too high? 15. What is Dropout and Batch Normalization? 16. What is the difference between Batch Gradient Descent and Stochastic Gradient Descent? 17. Explain Overfitting and Underfitting and how to combat them. 18. How are weights initialized in a network? 19. What are the different layers in CNN? #DeepLearningInterviewQuestions #DeepLearning #MachineLearning #DataScience #SimplilearnDeepLearning Subscribe to our channel for more Deep Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the slides here: https://goo.gl/Yy74ga To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip ➡️ About Artificial Intelligence Engineer This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions. IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers. ✅ Key Features - Add the IBM Advantage to your Learning - 25 Industry-relevant Projects and Integrated labs - Immersive Learning Experience - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Tools Covered - ChatGPT - Flask - Matplotlib - django - Python - Numpy - Pandas - SciPy - Keras - OpenCV - And Many More… 👉 Learn more at: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training?utm_campaign=Deep-Learning-Interview-Questions-And-Answers-JYMKEM5c7PU&utm_medium=Tutorials&utm_source=youtube

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