 Название: Generative Deep Learning with Python: Unleashing the Creative Power of AI
Автор: Cuantum Technologies
Издательство: Cuantum Technologies
Год: 2023
Страниц: 276
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Dive into the world of Generative Deep Learning with Python, mastering GANs, VAEs, & autoregressive models through projects & advanced topics. Gain practical skills & theoretical knowledge to create groundbreaking AI applications.
Key Features:
Comprehensive coverage of deep learning and generative models.
In-depth exploration of GANs, VAEs, & autoregressive models & advanced topics in generative AI.
Practical coding exercises & interactive assignments to build your own generative models.
Book Description:
Generative Deep Learning is a subfield of Artificial Intelligence (AI) that focuses on models that can generate new, previously unseen data. It's an area where art and science intersect, where creativity meets technology. With applications ranging from creating realistic images, music, and text to generating novel chemical compounds for drug discovery, the possibilities are truly endless. By the time you reach the end of this book, you'll have a comprehensive understanding of Generative Deep Learning and its vast potential.
Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.
The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.
Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.
What you will learn:
Develop a detailed understanding of deep learning fundamentals
Implement and train Generative Adversarial Networks (GANs)
Create & utilize Variational Autoencoders for data generation
Apply autoregressive models for text generation
Explore advanced topics & stay ahead in the field of generative AI
Analyze and optimize the performance of generative models
Who this book is for:
This course is designed for technical professionals, data scientists, and AI enthusiasts who have a foundational understanding of Deep Learning and Python programming. It is ideal for those looking to deepen their expertise in generative models and apply these techniques to innovative projects. Prior experience with neural networks and Machine Learning concepts is recommended to maximize the learning experience. Additionally, research professionals and advanced practitioners in AI seeking to explore Generative Deep Learning applications will find this course highly beneficial.
Contents:
Introduction
Chapter 1: Introduction to Deep Learning
Chapter 2: Understanding Generative Models
Chapter 3: Deep Dive into Generative Adversarial Networks (GANs)
Chapter 4: Project: Face Generation with GANs
Chapter 5: Exploring Variational Autoencoders (VAEs)
Chapter 6: Project: Handwritten Digit Generation with VAEs
Chapter 7: Understanding Autoregressive Models
Chapter 8: Project: Text Generation with Autoregressive Models
Chapter 9: Advanced Topics in Generative Deep Learning
Chapter 10: Navigating the Future Landscape of Generative Deep Learning
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Generative Deep Learning with Python: Unleashing the Creative Power of AI 
