{"id":16869,"date":"2026-09-06T03:35:11","date_gmt":"2026-09-06T03:35:11","guid":{"rendered":"https:\/\/www.web-ai-institute.com\/wp\/2026\/09\/06\/deep-learning-crash-course-for-beginners\/"},"modified":"2026-09-06T03:35:11","modified_gmt":"2026-09-06T03:35:11","slug":"deep-learning-crash-course-for-beginners","status":"publish","type":"post","link":"https:\/\/www.web-ai-institute.com\/wp\/2026\/09\/06\/deep-learning-crash-course-for-beginners\/","title":{"rendered":"Deep Learning Crash Course for Beginners"},"content":{"rendered":"<p><iframe loading=\"lazy\"  width=\"800\" height=\"400\" src=\"https:\/\/www.youtube.com\/embed\/VyWAvY2CF9c\" frameborder=\"0\" allowfullscreen><\/iframe><br \/>\n<br \/>Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code.<\/p>\n<p>You&#8217;ll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more.<\/p>\n<p>\u270f\ufe0f Course developed by Jason Dsouza. Check out his work on Github: https:\/\/github.com\/jasmcaus<\/p>\n<p>\u2764\ufe0f Try interactive AI courses we love, right in your browser: https:\/\/scrimba.com\/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)<\/p>\n<p>\u2b50\ufe0f Course Contents \u2b50\ufe0f<br \/>\n\u2328\ufe0f (0:00) Introduction<br \/>\n\u2328\ufe0f (1:18) What is Deep Learning<br \/>\n\u2328\ufe0f (5:25) Introduction to Neural Networks<br \/>\n\u2328\ufe0f (6:12) How do Neural Networks LEARN?<br \/>\n\u2328\ufe0f (12:06) Core terminologies used in Deep Learning<br \/>\n\u2328\ufe0f (12:11) Activation Functions<br \/>\n\u2328\ufe0f (22:36) Loss Functions<br \/>\n\u2328\ufe0f (23:42) Optimizers<br \/>\n\u2328\ufe0f (30:10) Parameters vs Hyperparameters<br \/>\n\u2328\ufe0f (32:03) Epochs, Batches &#038; Iterations<br \/>\n\u2328\ufe0f (34:24) Conclusion to Terminologies<br \/>\n\u2328\ufe0f (35:18) Introduction to Learning<br \/>\n\u2328\ufe0f (35:34) Supervised Learning<br \/>\n\u2328\ufe0f (40:21) Unsupervised Learning<br \/>\n\u2328\ufe0f (43:38) Reinforcement Learning<br \/>\n\u2328\ufe0f (46:25) Regularization<br \/>\n\u2328\ufe0f (51:25) Introduction to Neural Network Architectures<br \/>\n\u2328\ufe0f (51:37) Fully-Connected Feedforward Neural Nets<br \/>\n\u2328\ufe0f (54:05) Recurrent Neural Nets<br \/>\n\u2328\ufe0f (1:04:40) Convolutional Neural Nets<br \/>\n\u2328\ufe0f (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model<br \/>\n\u2328\ufe0f (1:08:23) 1. Gathering Data<br \/>\n\u2328\ufe0f (1:11:27) 2. Preprocessing the Data<br \/>\n\u2328\ufe0f (1:19:05) 3. Training your Model<br \/>\n\u2328\ufe0f (1:19:33) 4. Evaluating your Model<br \/>\n\u2328\ufe0f (1:19:55) 5. Optimizing your Model&#8217;s Accuracy<br \/>\n\u2328\ufe0f (1:25:15) Conclusion to the Course<\/p>\n<p>&#8212;<\/p>\n<p>Learn to code for free and get a developer job: https:\/\/www.freecodecamp.org<\/p>\n<p>Read hundreds of articles on programming: https:\/\/freecodecamp.org\/news<br \/>\n<br \/><a href=\"https:\/\/www.youtube.com\/watch?v=VyWAvY2CF9c\">source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code. You&#8217;ll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types&#8230;<\/p>\n","protected":false},"author":1,"featured_media":16870,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"categories":[316],"tags":[328,325,327,326,324],"class_list":["post-16869","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-codingai","tag-ai-theory","tag-beginner-ai-courses","tag-intro-to-ai-agents","tag-intro-to-machine-learning","tag-introduction-to-ai"],"_links":{"self":[{"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/posts\/16869","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/comments?post=16869"}],"version-history":[{"count":0,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/posts\/16869\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/media\/16870"}],"wp:attachment":[{"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/media?parent=16869"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/categories?post=16869"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.web-ai-institute.com\/wp\/wp-json\/wp\/v2\/tags?post=16869"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}