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size
22.86 x 17.78 x 2.29 cm
Product Information
Ideal For
General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers
Country Of Origin
India
About Author
David Foster Is A Data Scientist, Entrepreneur, And Educator Specializing In Ai Applications Within Creative Domains. As Co-Founder Of Applied Data Science Partners (Adsp), He Inspires And Empowers Organizations To Harness The Transformative Power Of Data And Ai.
Author Name
David Foster
Genre
Computer Science
No Of Pages
456
Publisher
O'Reilly Media, O'Reilly Media
Isbn Code
9.78E+12
Product Description
- Premium Quality: Generative Deep Learning by David Foster is a practical book that teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch.
- Product Design: The book covers a comprehensive range of model architectures, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.
- User Experience: Focused on hands-on application, the text guides practitioners through building and training generative models, making it accessible to those working directly in machine learning and data science roles.
- Versatile Occasion: At 456 pages in paperback format, this volume is suited to college students, competitive exam aspirants in computer science, and professionals seeking to stay at the forefront of generative AI.
- Quality Assurance: Author David Foster is a data scientist, entrepreneur, and educator specialising in AI applications within creative domains, and co-founder of Applied Data Science Partners (ADSP), lending the book strong real-world credibility.
- Lifestyle Essential: As generative AI continues to reshape the tech landscape, this book serves as an indispensable resource for anyone looking to master the tools and techniques driving this revolution.