Generative Deep Learning
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Free Size
Product Information
Brand
Pagify
Ideal For
Reading
Material
Paper
Country Of Origin
India
Pack Of
1
Author
David Foster
Genre
Computer Science
Isbn
9781098134174
Page Count
472
Product Type
Book
Product Description
- Premium Quality: Generative Deep Learning addresses the hottest topic in tech, offering a practical, hands-on resource written specifically for machine learning engineers and data scientists.
- Product Design: The book teaches readers how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, covering a comprehensive range of architectures and techniques.
- User Experience: Topics covered include variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models, providing thorough technical grounding across the field.
- Versatile Occasion: Suitable for professional data practitioners, AI researchers, and advanced students alike, the book bridges theoretical foundations with real-world implementation using widely adopted frameworks.
- Quality Assurance: This original paperback edition spans 472 pages and carries the ISBN 9781098134174, ensuring readers receive a complete and authoritative guide to generative modelling.
- Lifestyle Essential: As artificial intelligence continues to reshape industries, this book serves as an essential technical companion for anyone seeking to master the cutting edge of generative deep learning.
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