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Deep Learning Crash Course for Beginners

Deep Learning Crash Course for Beginners

03:30 598,182 views

PyTorch for Deep Learning & Machine Learning – Full Course

PyTorch for Deep Learning & Machine Learning – Full Course

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Machine Learning for Everybody – Full Course

Machine Learning for Everybody – Full Course

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Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

03:30 458,061 views

Deep Learning Bootcamp: Kaiming He

Deep Learning Bootcamp: Kaiming He

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Learn PyTorch for deep learning in a day. Literally.

Learn PyTorch for deep learning in a day. Literally.

03:30 938,067 views

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

03:30 691,637 views

Full AI Prompting Course with Andrew Ng

Full AI Prompting Course with Andrew Ng

03:30 117,652 views

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

03:30 393,519 views

🎓 Featured Course Guide & Lesson Notes: Deep Learning Crash Course for Beginners

Top Result #1

Instructor: freeCodeCamp.org  |  Runtime: 03:30 mins  |  Students / Views: 598,182

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'll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more. ✏️ Course developed by Jason Dsouza. Check out his work on Github: https://github.com/jasmcaus ❤️ 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) ⭐️ Course Contents ⭐️ ⌨️ (0:00) Introduction ⌨️ (1:18) What is Deep Learning ⌨️ (5:25) Introduction to Neural Networks ⌨️ (6:12) How do Neural Networks LEARN? ⌨️ (12:06) Core terminologies used in Deep Learning ⌨️ (12:11) Activation Functions ⌨️ (22:36) Loss Functions ⌨️ (23:42) Optimizers ⌨️ (30:10) Parameters vs Hyperparameters ⌨️ (32:03) Epochs, Batches & Iterations ⌨️ (34:24) Conclusion to Terminologies ⌨️ (35:18) Introduction to Learning ⌨️ (35:34) Supervised Learning ⌨️ (40:21) Unsupervised Learning ⌨️ (43:38) Reinforcement Learning ⌨️ (46:25) Regularization ⌨️ (51:25) Introduction to Neural Network Architectures ⌨️ (51:37) Fully-Connected Feedforward Neural Nets ⌨️ (54:05) Recurrent Neural Nets ⌨️ (1:04:40) Convolutional Neural Nets ⌨️ (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model ⌨️ (1:08:23) 1. Gathering Data ⌨️ (1:11:27) 2. Preprocessing the Data ⌨️ (1:19:05) 3. Training your Model ⌨️ (1:19:33) 4. Evaluating your Model ⌨️ (1:19:55) 5. Optimizing your Model's Accuracy ⌨️ (1:25:15) Conclusion to the Course -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news Key Highlights & Overview: Learning <strong>Bootcamp Deep Learning</strong> is essential for modern technical workflows and software skills. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.