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79375418
Deep Learning: A Comprehensive Guide, (Hardcover)
86% of respondents would recommend this to a friend
Nº de artículo:
79375418
NIO 8136
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Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts.
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What Stands Out
In-depth Coverage
This guide offers extensive insights into deep learning, covering fundamental concepts and advanced techniques, making it suitable for both beginners and experienced practitioners.
Expert Authors
Written by leading experts in the field, readers gain access to reliable and cutting-edge information, ensuring a high standard of quality and relevance in deep learning topics.
Hands-on Examples
Includes practical examples and case studies, allowing readers to apply theories and improve their skill set effectively, addressing real-world problems encountered in deep learning applications.
Detalles de producto
- Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding - and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.Key Features Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader's understanding Includes references to the related YouTube videos that provide additional guidance AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2021 |
| Pages | 290 |
| Subgenre | Machine Theory |
| Series title | No Series |
| Edition | 1 |
| Publisher | CRC Press |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | College |
| Awards won | Winner of the HARVARD University - Hack Harvard Global 2019 - World Hack - 2019, Winner of 50 plus hackathons, Selected as "Intel IoT Innovator" and inducted into "Intel Software Innovator" group, Awarded "Top Innovator" award - 2018, "Top Innovator - Innovator Summit 2019", World Record Holder - With Sister Subashri Vasudevan (Only Sibling in the Globe to have authored 9 books together, Unique World Record Books), Entry in Limca book of records for National Record - 2015, Entry in India Book of Records - National Record and Appreciation. - 2017 |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.75 x 9.21 in (15.6 x 1.9 x 23.4 cm) |
| Assembled product weight | 1.34 lb (610 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Students
Ideal for university students pursuing courses in artificial intelligence and machine learning, offering foundational and advanced concepts.
-
Professionals
Great for data scientists and engineers seeking to deepen their understanding of deep learning techniques and applications.
-
Educators
Useful for instructors looking for a comprehensive reference to teach deep learning principles in academic settings.
-
Beginners
Not suitable for complete beginners lacking prior knowledge in machine learning, as it may be too complex.
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Shriram K Vasudevan All Books Editorial Review
Deep Learning: A Comprehensive Guide (Hardcover) is an essential resource for those diving into the field of machine theory and computing. Published by CRC Press in December 2021, this non-fiction book spans 290 pages, providing an in-depth exploration suitable for college-level education with a focus on technology. Praised for its detailed approach, it has received several accolades, including wins at over 50 hackathons and recognition as an Intel IoT Innovator. Readers can expect clear explanations that facilitate understanding of complex concepts.
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ventajas
- Hardcover format for durability
- Well-structured for college-level education
- Accurately covers machine theory topics
- Recognized with multiple awards
- Suitable for technology enthusiasts
Contras
- May be too advanced for beginners
Product Price History
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NIO 8136
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características y beneficios
- Comprehensive coverage of Deep Learning and Machine Learning concepts
- Smooth transition from ML concepts to DL concepts
- Line-by-line explanations for coding-based examples
- Real-time examples and interview questions included
- Suitable for individuals with non-computer-science background
- Includes quiz questions to test understanding
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