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Generative Deep Learning

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variant

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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