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104271379
Deep Learning (Adaptive Computation and Machine Learning series)
87% of respondents would recommend this to a friend
Item #:
104271379
MYR 570
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Maklumat produk
| Publisher | The MIT Press |
| Publication date | 18 Nov. 2016 |
| Language | English |
| Print length | 800 pages |
| ISBN-10 | 0262035618 |
| ISBN-13 | 978-0262035613 |
| Reading age | 18 years and up |
| Dimensions | 23.11 x 18.29 x 2.79 cm |
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Deep Learning (Adaptive Computation and Machine Learning series)
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Kajian Editorial
**** The book "Deep Learning," part of the Adaptive Computation and Machine Learning series, has garnered attention for its comprehensive treatment of the subject despite some criticisms regarding its mathematical rigor. The authors, recognized as leading figures in the field, offer insights that blend practical applications with the theoretical underpinnings of deep learning. Reviewers appreciate the emphasis on real-world applicability, noting that the book steers clear of excessive mathematical abstractions that often obscurate practical understanding. Instead, it focuses on actionable insights crucial for practitioners in areas like image and speech recognition. Readers have highlighted the extensive and relevant literature provided, which enhances the reader's ability to delve deeper into specific topics of interest without necessitating prior comprehension of all referenced materials. However, while the book excels in providing a robust overview and practical advice—especially beneficial for both novices and experienced practitioners—it has been noted that some sections may lack the in-depth theoretical formulations expected in a scientific text. Some customers indicate that while the book is an excellent resource for those looking to understand deep learning concepts deeply, it may not fully equip one for the complexities found in advanced academic literature. Moreover, a solid foundation in mathematics, particularly linear algebra and numerical calculus, is highly suggested for optimal comprehension. Overall, the book receives high praise for its clarity, depth, and practical orientation, making it a valuable addition for anyone keen on mastering deep learning techniques. **
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- Comprehensive and up-to-date overview of deep learning.
- Strong emphasis on practical applications over purely theoretical concepts.
- Valuable insights from leading experts in the field.
- Extensive literature for further study is included.
- Suitable for both beginners and experienced practitioners.
Keburukan
- Some chapters may lack solid mathematical formulation.
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