Generative AI
Et Tu Code
Unlock the secrets of Generative AI with this comprehensive guide! 🚀
Generative AI is a rapidly growing field that enables machines to create novel, original content, such as images, music, and text. But how do these models work? And how can you use...
Location:
United States
Description:
Unlock the secrets of Generative AI with this comprehensive guide! 🚀 Generative AI is a rapidly growing field that enables machines to create novel, original content, such as images, music, and text. But how do these models work? And how can you use them in your own projects? This book provides a detailed, beginner-friendly guide to understanding and implementing Generative AI. You'll learn about the different types of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more. Each chapter covers a specific model, with clear explanations of how it works and examples of how to use it in practice. Whether you're a seasoned AI practitioner or just starting out, this book will help you: 🤖 Understand the inner workings of Generative AI models 🎨 Create stunning images, music, and text with your own generative models 🔍 Apply Generative AI to a wide range of applications, from art and design to natural language processing and more With this book, you'll be able to: ☑️ Build your own generative models using popular deep learning frameworks like TensorFlow and PyTorch ☑️ Use Generative AI to create innovative solutions for a variety of industries ☑️ Stay up-to-date with the latest developments in the field and how they can be applied in practice Don't miss out on this opportunity to unlock the full potential of Generative AI! 🔓 Get your copy today and start creating innovative content like never before!" Duration - 14h 23m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Sunday, 14 January 2024. Copyright - © 2023 Et Tu Code ©.
Language:
English
Opening Credits
Duración:01:31:02
2 preface
Duración:02:17:31
3 Introduction to generative ai
Duración:05:20:04
4 History of generative ai
Duración:04:16:07
5 Types of generative models
Duración:03:57:16
6 Types of generative models variational autoencoders (vaes)
Duración:04:34:16
7 Types of generative models generative adversarial networks (gans)
Duración:06:11:50
8 Types of generative models other generative models
Duración:05:46:19
9 Training and fine tuning generative models
Duración:05:24:12
10 Detailed math behind generative ai
Duración:05:14:09
11 detailed math behind generative ai probability distributions
Duración:06:04:57
12 detailed math behind generative ai linear algebra in generative models
Duración:04:29:31
13 detailed math behind generative ai optimization techniques
Duración:06:19:45
14 detailed math behind generative ai advanced mathematics in gans
Duración:05:50:00
15 research papers behind generative ai
Duración:05:09:02
16 research papers behind generative ai gans: generative adversarial networks
Duración:04:49:16
17 research papers behind generative ai vaes: variational autoencoders
Duración:05:33:07
18 research papers behind generative ai recent breakthroughs
Duración:06:02:45
19 generative ai in industry
Duración:04:18:19
20 generative ai tools and frameworks
Duración:05:01:12
21 generative ai tools and frameworks tensorflow for generative ai
Duración:05:25:02
22 generative ai tools and frameworks pytorch for generative ai
Duración:09:15:33
23 generative ai tools and frameworks other tools and libraries
Duración:04:06:19
24 building a generative ai project
Duración:03:50:55
25 applications of generative ai
Duración:04:22:33
26 generative ai in art and creativity
Duración:04:11:57
27 generative ai and human collaboration
Duración:04:34:00
28 Challenges and ethical considerations
Duración:04:18:12
29 Future trends in generative ai
Duración:05:49:02
30 Conclusion
Duración:03:38:24
31 glossary
Duración:04:24:36
32 bibliography
Duración:04:38:52
Ending Credits
Duración:01:37:02