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Item #:
211318723
生成AI、LLMのためのPythonディープラーニング教科書 Tankobon Softcover – March 18, 2026
Item #:
211318723
SAR 170
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Learn directly from the Keras developers and confidently step into the world of deep learning with Python!
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What Stands Out
Comprehensive Coverage
This book provides an in-depth exploration of AI and LLM technologies, ensuring both beginners and advanced users can effectively grasp complex concepts and practical applications in Python deep learning.
Hands-on Learning
With numerous practical examples and exercises, readers can apply their knowledge immediately, gaining valuable hands-on experience that enhances understanding and retention of deep learning techniques.
Future-Proof Content
Published in 2026, the content is tailored to include the latest developments in AI and deep learning, ensuring readers stay ahead in a fast-evolving field, making it a valuable resource for years to come.
Product Details
| Publisher | u30deu30a4u30cau30d3u51fau7248 |
| Publication date | March 18, 2026 |
| Language | Japanese |
| Print length | 608 pages |
| ISBN-10 | 4839989680 |
| ISBN-13 | 978-4839989682 |
| Item Weight | 649 g |
| Dimensions | 1.18 x 7.17 x 9.21 inches (3 x 18.2 x 23.4 cm) |
Who Should Buy?
-
Beginner Programmers
New to Python and eager to learn deep learning for AI applications will find this resource invaluable.
-
AI Enthusiasts
Individuals interested in generative AI and language models will benefit from the comprehensive coverage of these topics.
-
Educators and Trainers
Educators looking for structured material to teach Python deep learning will find this book an excellent resource.
-
Advanced Practitioners
Experienced data scientists may find the content too basic and not challenging enough for their skill level.
Product Description
生成AI、LLMのためのPythonディープラーニング教科書 Tankobon Softcover – March 18, 2026
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Features & Benefits
- Essential knowledge for engineers in the era of Generative AI.
- Comprehensive coverage of Keras 3, PyTorch, and JAX.
- Easy-to-understand explanations of deep learning concepts.
- Updated best-seller with new chapters on Transformers and image generation.
- Practical projects and code examples in every chapter.
- Transforms the deep learning landscape for business and society.
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