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209714523
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
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Item #:
209714523
CVE 7486
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What Stands Out
Comprehensive Coverage
This edition offers an in-depth exploration of deep learning concepts and techniques, catering to both beginners and advanced practitioners, enhancing their understanding of PyTorch effectively.
Hands-On Examples
Packed with practical exercises, this book provides readers with real-world applications of deep learning, enabling them to build and optimize models with confidence using PyTorch.
Updated Techniques
Reflecting the latest advancements in deep learning, the book covers cutting-edge practices, ensuring readers are well-versed in current industry trends and methodologies.
Product Details
| Publisher | Manning Publications |
| Publication date | March 10, 2026 |
| Edition | 2nd |
| Language | English |
| Print length | 544 pages |
| ISBN-10 | 1633438856 |
| ISBN-13 | 978-1633438859 |
| Item Weight | 1.58 pounds (720 grams) |
| Dimensions | 7.38 x 1.36 x 9.25 inches (18.7 x 3.5 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners seeking to gain a solid foundational understanding of deep learning concepts and frameworks.
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Machine Learning Enthusiasts
Great for individuals interested in exploring advanced techniques and applications of machine learning using PyTorch.
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Academic Researchers
Useful for those involved in research requiring deep learning for experiments, particularly in artificial intelligence and related fields.
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Absolute Beginners
May not suit those without prior programming or machine learning experience, as concepts might be overly complex.
Product Description
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
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Features & Benefits
- Covers all levels from beginner to advanced in deep learning with PyTorch.
- Seamless structure enhances learning experience.
- Practical projects help apply concepts to real-world problems.
- Up-to-date content on the latest techniques in AI and ML.
- Includes hands-on coding examples for building various neural networks.
- Access to supplementary resources like eBooks and an AI assistant.
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