Mahsulot #:
106458594
Understanding Deep Learning
85% of respondents would recommend this to a friend
Mahsulot #:
106458594
UZS 1788824
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Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts.
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What Stands Out
Comprehensive Coverage
This book offers an in-depth exploration of deep learning concepts, making complex topics accessible to all readers, from beginners to experts, ensuring a thorough understanding for diverse audiences.
Practical Examples
With real-world applications and case studies, readers can see how deep learning is applied in various fields, enhancing practical understanding and enabling readers to implement techniques effectively.
Expert Insights
Authored by industry experts, this book provides valuable insights and up-to-date knowledge on deep learning advancements, making it an essential resource for both students and professionals seeking to stay ahead.
Mahsulot tafsilotlari
- An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion modelsShort, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of modelsStreamlined presentation separates critical ideas from background context and extraneous detailMinimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible Programming exercises offered in accompanying Python Notebooks
| Publisher | The MIT Press |
| Publication date | December 5, 2023 |
| Language | English |
| Print length | 544 pages |
| ISBN-10 | 0262048647 |
| ISBN-13 | 978-0262048644 |
| Item Weight | 1.31 Kilograms |
| Dimensions | 8.27 x 1.46 x 9.29 inches (21 x 3.7 x 23.6 cm) |
Who Should Buy?
-
Aspiring Data Scientists
This book provides foundational knowledge essential for entering the field of data science and machine learning.
-
Academic Researchers
Researchers looking to deepen their expertise in deep learning concepts will find this resource invaluable for their work.
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AI Enthusiasts
Individuals passionate about AI technologies will appreciate the insights and practical applications explained in the book.
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Beginner Programmers
Those without programming experience may struggle to grasp the technical aspects covered in the book.
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English Edition Simon J.D. Prince Format: Hardcover Editorial Review
Understanding Deep Learning is a comprehensive guide published by The MIT Press, providing an in-depth exploration of deep learning concepts across 544 pages. This enlightening text, set to release on December 5, 2023, is available in English and promises to be an essential resource for anyone looking to grasp the intricacies of this transformative technology. With dimensions of 8.27 x 1.46 x 9.29 inches and a manageable weight of 1.31 kilograms, it is both substantial and accessible for study. Readers can anticipate a structured presentation of complex ideas, making them easier to digest, perfect for aspiring data scientists and engineers.
Customer Reviews & Ratings
199 mijozlar reytingi
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4 yulduz
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3 yulduz
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Pros
- Comprehensive exploration of deep learning concepts
- Published by a reputable press
- Well-structured for better comprehension
- Suitable for aspiring data scientists
- Large print length enhances depth of content
Kamchiliklari
- Dimensions may not be travel-friendly
Product Price History
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UZS 1788824
Hoziroq buyurtma bering va oling Juma, Noyabr 06
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Xususiyatlar va Afzalliklar
- Up-to-date treatment of deep learning covering cutting-edge topics
- Short, focused chapters progressing in complexity
- Pragmatic approach straddling theory and practice
- Streamlined presentation separating critical ideas from extraneous detail
- Minimal mathematical prerequisites, extensive illustrations, and practice problems
- Programming exercises offered in accompanying Python Notebooks
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