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Vision Transformer入門 Computer Vision Library
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€ 31
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This book is an essential introduction to Vision Transformers (ViT), showcasing their superiority in computer vision tasks compared to traditional methods.
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Detalji o proizvodu
| Publisher | u6280u8853u8a55u8ad6u793e |
| Publication date | September 17, 2022 |
| Language | Japanese |
| Print length | 272 pages |
| ISBN-10 | 4297130580 |
| ISBN-13 | 978-4297130589 |
| Item Weight | 520 g |
| Dimensions | 9.13 x 7.17 x 0.67 inches (23.2 x 18.2 x 1.7 cm) |
Who Should Buy?
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Students of AI
Ideal for students learning computer vision concepts and exploring state-of-the-art techniques with user-friendly interfaces.
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Research Professionals
Suited for researchers seeking to implement and test advanced vision transformer models in various applications.
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Data Scientists
Great for data scientists looking to enhance visual data processing with robust transformer-based methodologies.
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Beginners in Coding
Not suitable for individuals without coding experience, as it requires knowledge of programming and library usage.
OPIS PROIZVODA
Vision Transformer入門 Computer Vision Library
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山本 晋太郎 , 徳永 匡臣 , 箕浦 大晃 Theoretical Computer Science Editorial Review
Vision Transformer入門 Computer Vision Library is a comprehensive introduction by 技術評論社, published on September 17, 2022. This library, written in Japanese, offers insights into computer vision concepts and practices across its 272 pages. The book is designed for readers interested in exploring modern techniques in this field, including the application of Vision Transformers, making complex topics accessible to beginners. Its lightweight design and practical dimensions make it user-friendly, enhancing the learning experience for enthusiasts looking to dive into computer vision.
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Pros
- Comprehensive coverage of computer vision topics
- User-friendly dimensions for easy handling
- Written in accessible Japanese
- Published by a reputable technical publisher
- Ideal for beginners in computer vision
Protiv
- Content may require prior technical knowledge for full comprehension
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€ 31
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Značajke i prednosti
- Discover the fundamentals of Vision Transformers (ViT).
- Learn how ViT surpasses traditional models like RNN and CNN.
- Explore practical applications across various computer vision tasks.
- Engage with experiments that visualize ViT's capabilities.
- Gain insights into the underlying theories and frameworks.
- Stay ahead with a comprehensive overview of ViT and its derivatives.
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