ISBN: 9781492090007 - pytorch pocket reference: building and deploying deep learning models (12 Ergebnisse)

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

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

Zustand: New. In English.

Zustand: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 265 pages. 7.00x4.25x0.65 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development-from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices. - Learn basic PyTorch syntax and design patterns - Create custom models and data transforms - Train and deploy models using a GPU and TPU - Train and test a deep learning classifier - Accelerate training using optimization and distributed training - Access useful PyTorch libraries and the PyTorch ecosystem.…

Zustand: NEW.

Zustand: Very Good.

Zustand: New. This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development a.

Taschenbuch. Zustand: Neu. PyTorch Pocket Reference | Building and Deploying Deep Learning Models | Joe Papa | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | O'Reilly Media | EAN 9781492090007 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …