Isbn: 9781098134181 - generative deep learning: teaching machines to paint, write, compose, and play (16 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Softcover. Second Edition. Quarto, xiv, xv, xxvi, 426 pages. In Very Good condition. Paperback binding. Spine white with black and red lettering. Covers have very slight wear including sparse, minor soiling. Text block has very slight wear. Illustrated. Second edition. NOTE: Shelved in Locked Annex, Quarto and Folio Case. Oversized book(s). Additional postage necessary for international/expedited orders. Economy International shipping unavailable due to size/weight restrictions. For international/expedited customers, please inquire for rates. 1415648. FP New Rockville Stock. …

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New.

Zustand: New. 2023. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. Idioma/Language: Inglés. Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL. E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla. …

Paperback. Zustand: Brand New. 2nd edition. 360 pages. 9.19x7.00x0.92 inches. In Stock.

Zustand: NEW.

Kartoniert / Broschiert. Zustand: New. &Uumlber den AutorDavid Foster is a data scientist, entrepreneur, and educator specializing in AI applications within creative domains. As cofounder of Applied Data Science Partners (ADSP), he inspires and empowers organizations to h.

Taschenbuch. Zustand: Neu. Neuware - Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. - Discover how VAEs can change facial expressions in photos - Train GANs to generate images based on your own dataset - Build diffusion models to produce new varieties of flowers - Train your own GPT for text generation - Learn how large language models like ChatGPT are trained - Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN - Compose polyphonic music using Transformers and MuseGAN - Understand how generative world models can solve reinforcement learning tasks - Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage. …

paperback. Zustand: New.

Taschenbuch. Zustand: Neu. Generative Deep Learning | Teaching Machines To Paint, Write, Compose, and Play | David Foster | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | O'Reilly Media | EAN 9781098134181 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware -Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. - Discover how VAEs can change facial expressions in photos - Train GANs to generate images based on your own dataset - Build diffusion models to produce new varieties of flowers - Train your own GPT for text generation - Learn how large language models like ChatGPT are trained - Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN - Compose polyphonic music using Transformers and MuseGAN - Understand how generative world models can solve reinforcement learning tasks - Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch. …

Taschenbuch. Zustand: Neu. Neuware -Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. - Discover how VAEs can change facial expressions in photos - Train GANs to generate images based on your own dataset - Build diffusion models to produce new varieties of flowers - Train your own GPT for text generation - Learn how large language models like ChatGPT are trained - Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN - Compose polyphonic music using Transformers and MuseGAN - Understand how generative world models can solve reinforcement learning tasks - Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage. Englisch. …