{"id":38257,"date":"2024-01-30T22:01:01","date_gmt":"2024-01-31T02:01:01","guid":{"rendered":""},"modified":"2024-01-30T22:01:01","modified_gmt":"2024-01-31T02:01:01","slug":"script-coding-deep-learning-interview-prep-course","status":"publish","type":"post","link":"https:\/\/ericbrooks.com\/whuzzup\/script-coding-deep-learning-interview-prep-course\/","title":{"rendered":"[#Script #Coding] Deep Learning Interview Prep Course"},"content":{"rendered":"<div align=\"center\" style=\"padding: 2%;\"><iframe loading=\"lazy\" title=\"Deep Learning Interview Prep Course\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/BAregq0sdyY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<blockquote style=\"text-align: left; background-color: #E4E4E4; border: 3px dotted gray; padding:2%;\"><p>\n<a href=\"https:\/\/www.youtube.com\/watch?v=BAregq0sdyY\" target=\"offsite\" rel=\"nofollow noopener noreferrer\"><\/p>\n<h3>Deep Learning Interview Prep Course<\/h3>\n<p><\/a><\/p>\n<p>By <a href=\"https:\/\/www.youtube.com\/channel\/UC8butISFwT-Wl7EV0hUK0BQ\" target=\"offsite\" rel=\"nofollow noopener noreferrer\"><strong>freeCodeCamp.org<\/strong><\/a><br \/><strong>Published<\/strong>: Jan 30, 2024<\/p>\n<p><em style=\"font-family: 'Times New Roman',Times,serif; color: #666;\"><span style=\"font-size: 3.5em; font-weight: bold;\">&#0147;<\/span><\/em><br \/>\n<a href=\"https:\/\/www.youtube.com\/watch?v=BAregq0sdyY\" target=\"offsite\" rel=\"nofollow noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/i3.ytimg.com\/vi\/BAregq0sdyY\/hqdefault.jpg\" class=\"alignright\" align=\"right\" alt=\"freeCodeCamp.org\" style=\"width: 200px; height: auto;\" \/><\/a> Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations.<\/p>\n<p>?? Course created by Tatev Karen Aslanyan.<\/p>\n<p>?? Expanded course with 100 questions: https:\/\/courses.lunartech.ai\/courses\/deep-learning-interview-preparation-course-100-q-a-s <\/p>\n<p>?? Contents ??<br \/>\n?? 0:00:00 Introduction<br \/>\n?? 0:08:20 Question 1: What is Deep Learning?<br \/>\n?? 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning?<br \/>\n?? 0:15:25 Question 3: What is a Neural Network?<br \/>\n?? 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning<br \/>\n?? 0:24:35 Question 5: Explain architecture of Neural Networks in simple way<br \/>\n?? 0:31:45 Question 6: What is an activation function in a Neural Network?<br \/>\n?? 0:35:00 Question 7: Name few popular activation functions and describe them<br \/>\n?? 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network?<br \/>\n?? 0:48:20 Question 9: Describe how training of basic Neural Networks works<br \/>\n?? 0:53:45 Question 10: What is Gradient Descent?<br \/>\n?? 1:03:50 Question 11: What is the function of an optimizer in Deep Learning?<br \/>\n?? 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning?<br \/>\n?? 1:17:25 Question 13: How is backpropagation different from gradient descent?<br \/>\n?? 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it&rsquo;s impact on NN<br \/>\n?? 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it&rsquo;s impact on NN<br \/>\n?? 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason?<br \/>\n?? 1:37:50 Question 17: What do you understand by a computational graph?<br \/>\n?? 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning?<br \/>\n?? 1:47:15 Question 19: What is Cross Entropy loss function and how is it called in industry?<br \/>\n?? 1:50:18 Question 20: Why is Cross-entropy preferred as the cost function for multi-class classification problems?<br \/>\n?? 1:53:10 Question 21: What is SGD and why it&rsquo;s used in training Neural Networks?<br \/>\n?? 1:58:24 Question 22: Why does stochastic gradient descent oscillate towards local minima?<br \/>\n?? 2:03:38 Question 23: How is GD different from SGD?<br \/>\n?? 2:08:19 Question 24: How can optimization methods like gradient descent be improved? What is the role of the momentum term?<br \/>\n?? 2:14:22 Question 25: Compare batch gradient descent, minibatch gradient descent, and stochastic gradient descent.<br \/>\n?? 2:19:12 Question 26: How to decide batch size in deep learning (considering both too small and too large sizes)?<br \/>\n?? 2:26:01 Question 27: Batch Size vs Model Performance: How does the batch size impact the performance of a deep learning model?<br \/>\n?? 2:29:33 Question 28: What is Hessian, and how can it be used for faster training? What are its disadvantages?<br \/>\n?? 2:34:12 Question 29: What is RMSProp and how does it work?<br \/>\n?? 2:38:43 Question 30: Discuss the concept of an adaptive learning rate. Describe adaptive learning methods<br \/>\n?? 2:43:34 Question 31: What is Adam and why is it used most of the time in NNs?<br \/>\n?? 2:49:59 Question 32: What is AdamW and why it&rsquo;s preferred over Adam?<br \/>\n?? 2:54:50 Question 33: What is Batch Normalization and why it&rsquo;s used in NN?<br \/>\n?? 3:03:19 Question 34: What is Layer Normalization, and why it&rsquo;s used in NN?<br \/>\n?? 3:06:20 Question 35: What are Residual Connections and their function in NN?<br \/>\n?? 3:15:05 Question 36: What is Gradient clipping and their impact on NN?<br \/>\n?? 3:18:09 Question 37: What is Xavier Initialization and why it&rsquo;s used in NN?<br \/>\n?? 3:22:13 Question 38: What are different ways to solve Vanishing gradients?<br \/>\n?? 3:25:25 Question 39: What are ways to solve Exploding Gradients?<br \/>\n?? 3:26:42 Question 40: What happens if the Neural Network is suffering from Overfitting relate to large weights?<br \/>\n?? 3:29:18 Question 41: What is Dropout and how does it work?<br \/>\n?? 3:33:59 Question 42: How does Dropout prevent overfitting in NN?<br \/>\n?? 3:35:06 Question 43: Is Dropout like Random Forest?<br \/>\n?? 3:39:21 Question 44: What is the impact of Drop Out on the training vs testing?<br \/>\n?? 3:41:20 Question 45: What are L2\/L1 Regularizations and how do they prevent overfitting in NN?<br \/>\n?? 3:44:39 Question 46: What is the difference between L1 and L2 regularisations in NN?<br \/>\n?? 3:48:43 Question 47: How do L1 vs L2 Regularization impact the Weights in a NN?<br \/>\n?? 3:51:56 Question 48: What is the curse of dimensionality in ML or AI?<br \/>\n?? 3:53:04 Question 49: How deep learning models tackle the curse of dimensionality?<br \/>\n?? 3:56:47 Question 50: What are Generative Models, give examples?<\/p>\n<div style=\"text-align: center; font-weight: bold\">[<a href=\"https:\/\/www.youtube.com\/watch?v=BAregq0sdyY\" target=\"offsite\" rel=\"nofollow noopener noreferrer\" title=\"Read More on YouTube\">READ MORE<\/a>]<\/div>\n<p><em style=\"font-family: 'Times New Roman',Times,serif; color: #666;\"><span style=\"font-size: 3.5em; font-weight: bold;\">&#0148;<\/span><\/em><\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanat&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[380],"tags":[],"class_list":["post-38257","post","type-post","status-publish","format-standard","hentry","category-video-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>[#Script #Coding] Deep Learning Interview Prep Course - WHUZZUP!<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ericbrooks.com\/whuzzup\/script-coding-deep-learning-interview-prep-course\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[#Script #Coding] Deep Learning Interview Prep Course - WHUZZUP!\" \/>\n<meta property=\"og:description\" content=\"Prepare for a job interview about deep learning. 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