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(으)로 32개의 도서가 검색 되었습니다.
Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI (A practical roadmap from deep learning fundamentals to advanced applications and Generative AI)
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69,000원 | 20240610 | 9781803231334
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Deep Learning from the Basics (Python and Deep Learning: Theory and Implementation)
Saitoh, Koki | Packt Publishing
32,000원 | 20210901 | 9781800206137
Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key Features - Learn deep learning models through several activities - Begin with simple machine learning problems, and finish by building a complex system of your own - Teach your machines to see by mastering the technologies required for image recognition Book Description Deep learning is rapidly becoming the most preferred way of solving data problems.
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Models Demystified (A Practical Guide from Linear Regression to Deep Learning)
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170,970원 | 20250814 | 9781032582580
In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems.
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Programming Machine Learning: From Coding to Deep Learning (From Zero to Deep Learning)
| Pragmatic Bookshelf
75,510원 | 20191005 | 9781680506600
Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.
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Computational Texture and Patterns (From Textons to Deep Learning)
| Morgan & Claypool
87,410원 | 20180913 | 9781681730110
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations.
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Computational Texture and Patterns (From Textons to Deep Learning)
| Morgan & Claypool
122,410원 | 20180913 | 9781681732695
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations.
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From Curiosity to Deep Learning (Personal Digital Inquiry in Grades K-5)
| Routledge
70,510원 | 20190730 | 9781625311566
Reveals the powerful learning that results when you integrate purposeful technology into a classroom culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry, a framework developed by Julie Coiro and implemented in classrooms by her co-authors.
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Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea (From Feature-Engineering to Deep-Learning Approaches)
| Springer Nature B.V.
69,980원 | 20230704 | 9783031328336
This book describes the application of novel signal processing algorithms to improve the diagnostic capability of the blood oxygen saturation signal (SpO2) from nocturnal oximetry in the simplification of pediatric obstructive sleep apnea (OSA) diagnosis. For this purpose, 3196 SpO2?recordings from three different databases were analyzed using feature-engineering and deep-learning methodologies.
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Hands-On Deep Learning: From Beginner to Advanced with TensorFlow
| LAP Lambert Academic Publishing
84,000원 | 20240624 | 9786207808083
"Hands-On Deep Learning: From Beginner to Advanced with TensorFlow" is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks.
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Visual Object Tracking from Correlation Filter to Deep Learning
| Springer
244,980원 | 20221120 | 9789811662447
The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning.
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Artificial Intelligence for Scientific Discoveries (Extracting Physical Concepts from Experimental Data Using Deep Learning)
| Springer Nature B.V.
69,980원 | 20230413 | 9783031270208
Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The?automation?of the creation of experimental setups and physical models, as well as model testing are discussed.
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Food Security in the Economy of the Future (Transition from Digital Agriculture to Agriculture 4.0 Based on Deep Learning)
| Springer Nature B.V.
69,980원 | 20230326 | 9783031235122
This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline of the SDGs, the book surveys the current landscape and the prospects for agricultural development, demonstrating how Agriculture 4.0 based on AI and deep learning must follow from digitalization as the next step to ensuring food security.
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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
| O'Reilly Media
114,780원 | 20231128 | 9781098135720
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.
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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (Practical solutions from preprocessing to deep learning)
Albon, Chris | O'Reilly Media
0원 | 20180325 | 9781491989388
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
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Computational Texture and Patterns: From Textons to Deep Learning
| Springer
104,980원 | 20180913 | 9783031006951
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world.
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