Xiao caide (18 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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.

Taschenbuch. Zustand: Neu. Neuware - This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.Key Features: - Hands-on approach using the accompanying practical code examples - Codes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data output - Emphasis on practical application development for computer vision - Includes latest computer vision technologies - Offers practical guidance on advanced computer vision techniques - Uses freely available and open-source resources like Kaggle and Google Colab.…

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

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

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

Zustand: New. In English.

Zustand: Gut. Zustand: Gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.

Zustand: NEW.

Zustand: New. 2024. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.Key Features: - Hands-on approach using the accompanying practical code examples - Codes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data output - Emphasis on practical application development for computer vision - Includes latest computer vision technologies - Offers practical guidance on advanced computer vision techniques - Uses freely available and open-source resources like Kaggle and Google Colab.…

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

Zustand: New. In English.

Zustand: New.

Buch. Zustand: Neu. Neuware - Commencing by defining a set of standards for benchmarking sensors to enable better comparison, this book then proceeds to provide a review of the physics and workings of several optical and super optical biosensors, and introduces two more super optical biosensors, including the most sensitive super optical biosensor 'RMEPA', an abbreviation of three optical technique names: resonant mirroring, ellipsometry and attenuated total reflection. Mathcad is used to analyse these virtual biosensors and these codes and available to readers for use in their own research. It will be a key reference for researchers in academia and industry, particularly those involved in developing next generation optical biosensors. …

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Commencing by defining a set of standards for benchmarking this book then proceeds to provide a review of the physics and workings of several optical and super optical biosensors, and introduces two more super optical biosensors. Mathcad is used to analyse these virtual biosensors and these codes and available to readers for use in their own research.…