Requirements: .ePUB reader, 10 MB
Overview: 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. 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. This course is designed for technical professionals, data scientists, and AI enthusiasts who have a foundational understanding of Deep Learning and Python programming.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/yBAVuT
https://ouo.io/LEMMrk.
