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

Deep Learning Interview Questions And Answers | AI & Deep Learning Interview Questions | Simplilearn [Collection] 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? 20. What is Pooling in CNN and how does it work? #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 gain in-depth knowledge of Deep Learning, check our Deep Learning Certification training course: 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 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 Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist. Why Deep Learning? It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks. Advancements in deep learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to: 1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline 2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before 3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces We recommend this deep learning online course particularly for the following professionals: 1. Software engineers 2. Data scientists 3. Data analysts 4. Statisticians with an interest in deep learning 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 For more information about Simplilearn’s courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simp... - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0