Hi HN community,
I'm diving into the world of generative AI and I'm looking for comprehensive resources to study this topic systematically. I'm interested in materials that cover both the theoretical foundations and practical applications, ranging from introductory to advanced levels.
Does anyone have recommendations for:
Textbooks or academic papers that are considered essential reading.
Online courses or MOOCs that provide structured learning paths.
Open-source projects or tools that are beneficial for hands-on experience.
Blogs, forums, or communities where ongoing developments in generative AI are discussed.
I’m especially keen on resources that delve into neural networks, GANs, transformers, and reinforcement learning as they apply to generative models.
Any pointers or advice on structuring my learning journey would be greatly appreciated!
I'm looking for comprehensive resources to study generative AI systematically. I'm interested in materials that cover both the theoretical foundations and practical applications, ranging from introductory to advanced levels.
structure output as a list of links.
correct outputs are:
1. Textbooks or academic papers that are considered essential reading. 2. Online courses or MOOCs structured learning paths. 3. Open-source projects or tools that are beneficial for hands-on experience. 4. Blogs, forums, or communities where ongoing developments in generative AI are discussed. 5. resources that delve into neural networks, GANs, transformers, and reinforcement learning as they apply to generative models.
I'm especially keen on topic 5 (boost)
give links to the web pages that match topics 1, 2, 3, 4, or 5 above.