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Stavka #:
155690316
Practical Deep Learning, 2nd Edition: A Python-Based Introduction, (Paperback)
Stavka #:
155690316
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What Stands Out
Hands-On Approach
This edition emphasizes practical applications, enabling readers to swiftly apply deep learning concepts with real-world Python projects, enhancing learning and retention.
Comprehensive Coverage
The book offers thorough coverage of deep learning techniques, from basics to advanced topics, making it suitable for both beginners and experienced practitioners seeking to deepen their knowledge.
Up-to-Date Content
Updated with the latest trends and tools in deep learning, ensuring readers are equipped with relevant knowledge and skills that align with current industry standards and practices.
Detalji o proizvodu
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2025 |
| Pages | 584 |
| Reading level | General |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | No Starch Press |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.01 x 1.18 x 9.21 in (17.8 x 3 x 23.4 cm) |
| Assembled product weight | 2.2 lb (1 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginners in AI
Perfect for newcomers to artificial intelligence who seek a practical, hands-on learning experience with Python.
-
Data Scientists
Data professionals looking to expand their skill set with deep learning concepts and practical implementations using Python.
-
Educators and Students
Great resource for teachers and learners in academic settings who want structured content on deep learning basics.
-
Advanced Practitioners
Not suited for those with extensive experience in deep learning, as content may be too basic for them.
OPIS PROIZVODA
Practical Deep Learning, 2nd Edition: A Python-Based Introduction, (Paperback)
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Značajke i prednosti
- Learn deep learning concepts without extensive theory.
- Hands-on experiments in real-world AI applications.
- Build models for image analysis and creative writing.
- Includes evaluation techniques with industry-standard metrics.
- Updated content on generative AI and recent advancements.
- Accessible code examples available on GitHub for easy modification.
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