Deep Learning for Dummies, (Paperback)
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Deep Learning for Dummies gives you the information you need to take the mystery out of the topic--and all of the underlying technologies associated with it.
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Detalji o proizvodu
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2019 |
| Pages | 368 |
| Reading level | General |
| Subgenre | Programming |
| Series title | No Series |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.40 x 0.90 x 9.20 in (18.8 x 2.3 x 23.4 cm) |
| Assembled product weight | 1.05 lb (480 grams) |
| Bisac subject heading | Computers |
OPIS PROIZVODA
Deep Learning for Dummies, (Paperback)
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John Paul Mueller All Books Editorial Review
Deep Learning for Dummies, (Paperback) is an excellent non-fiction resource for those looking to grasp the fundamentals of deep learning. This book, published by Wiley in May 2019, spans 368 pages and is formatted as a paperback, making it accessible and easy to handle. It caters to a general reading level and is categorized under Computing & Internet, making it ideal for anyone interested in programming and technology. Readers appreciate its clear explanations and engaging style, which simplifies complex concepts. The book serves as a solid introduction for both beginners and those wanting to enhance their knowledge in deep learning applications.
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Pros
- Comprehensive introduction to deep learning concepts
- Written in an engaging, accessible style
- Perfect for beginners and general readers
- Covers essential programming aspects
- Well-structured content for easy understanding
Protiv
- Might not delve into advanced topics
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Značajke i prednosti
- Comprehensive guide to understanding deep learning and its technologies.
- Provides real-world examples and sample code for practical application.
- Includes hands-on activities for easier learning and experimentation.
- Explains complex algorithms in a simple and safe environment.
- Perfect for beginners wanting to grasp the foundation of deep learning.
- Empowers readers to utilize deep learning tools effectively.
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