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150587812
Synthesis Lectures on Computer Architect Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production, Paperback
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Preces #:
150587812
€ 61
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This book provides a solid understanding of the design, training, and applications of deep learning algorithms for industry, emphasizing collaboration across various engineering disciplines.
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What Stands Out
Comprehensive Coverage
This book offers an in-depth exploration of algorithms, compilers, and processors tailored for large-scale deep learning systems, making it an essential resource for computer architecture enthusiasts and professionals.
Expert Contributions
Written by leading experts in the field, it provides insights into current trends and breakthroughs, ensuring readers gain access to up-to-date knowledge that's critical for advancing their understanding of deep learning systems.
Practical Applications
Focusing on real-world applications, the text bridges the gap between theoretical concepts and practical implementations, empowering readers to apply learned techniques to optimize deep learning performance in production environments.
Produkta informācija
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 20201026 |
| Pages | 245 |
| Subgenre | Computer Architecture |
| Series title | Synthesis Lectures on Computer Architecture |
| Number in series | 53 |
| Edition | 1 |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in (23.5 cm) |
| Assembled product weight | 1.03 lb (470 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Computer Scientists
Ideal for those researching deep learning algorithms and their integration into computer architecture for real-world applications.
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Software Engineers
Beneficial for software engineers creating deep learning systems, requiring knowledge of compilers and hardware interactions.
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Graduate Students
Excellent resource for graduate students specializing in computer architecture or machine learning, offering comprehensive insights.
-
Casual Readers
Not suitable for casual readers seeking general knowledge; the material is technical and requires prior understanding.
PRODUKTA APRAKSTS
Synthesis Lectures on Computer Architect Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production, Paperback
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€ 61
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Funkcijas un priekšrocības
- Learn the fundamentals of deep learning systems and algorithms.
- Understand compiler techniques to optimize deep learning code for hardware.
- Explore essential hardware features for today's and future deep learning models.
- Facilitate collaboration among data scientists, hardware designers, and performance engineers.
- Incorporate practical techniques to design and accelerate model performance.
- Access industry insights and examples from leading high-technology companies.
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