Deep Learning in Practice
暫譯: 實用深度學習
Ghayoumi, Mehdi
- 出版商: CRC
- 出版日期: 2025-06-30
- 售價: $1,920
- 貴賓價: 9.5 折 $1,824
- 語言: 英文
- 頁數: 220
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367456583
- ISBN-13: 9780367456580
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相關分類:
DeepLearning
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相關主題
商品描述
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.
商品描述(中文翻譯)
《實務中的深度學習》幫助您學習如何使用深度學習（Deep Learning, DL）方法和架構來開發和優化模型以應用於您的專案。這本書將作為學習深度學習基礎知識和逐步實現深度學習模型的有用參考。
作者簡介
Dr. Mehdi Ghayoumi is a course facilitator at Cornell University and adjunct faculty of Computer Science at the University of San Diego. Prior to this, he was a research assistant professor at SUNY at Binghamton, where he was the Media Core Lab's dynamic leader. He was also a lecturer at Kent State University, where he received the Teaching Award for two consecutive years in 2016 and 2017. In addition, he has been teaching machine learning, data science, robotic and programming courses for several years.
Dr. Ghayoumi research interests are in Machine Learning, Machine Vision, Robotics, and Human-Robot Interaction (HRI). His research focuses are on building real systems for realistic environment settings, and his current projects have applications in Human-Robot Interaction, manufacturing, biometric, and healthcare.
He is a technical program committee member of several conferences, workshops, and editorial board member of several journals in machine learning, mathematics, and robotics, like ICML, ICPR, HRI, FG, WACV, IROS, CIBCB, and JAI. In addition, his research papers have been published at conferences and journals in the fields, including Human-Computer Interaction (HRI), Robotics Science and Systems (RSS), International Conference on Machine Learning and Applications (ICMLA), and others.
作者簡介(中文翻譯)
梅赫迪·蓋尤米博士是康奈爾大學的課程主持人，並擔任聖地牙哥大學計算機科學的兼任教員。在此之前，他曾是紐約州立大學賓漢頓分校的研究助理教授，並擔任媒體核心實驗室的動態領導者。他還曾在肯特州立大學擔任講師，並在2016年和2017年連續兩年獲得教學獎。此外，他已教授機器學習、數據科學、機器人和程式設計課程多年。
蓋尤米博士的研究興趣包括機器學習、機器視覺、機器人技術和人機互動（HRI）。他的研究重點是為現實環境設置構建真實系統，目前的項目應用於人機互動、製造、生物識別和醫療保健等領域。
他是多個會議、研討會的技術程序委員會成員，以及多本機器學習、數學和機器人期刊的編輯委員會成員，如ICML、ICPR、HRI、FG、WACV、IROS、CIBCB和JAI。此外，他的研究論文已在相關領域的會議和期刊上發表，包括人機互動（HRI）、機器人科學與系統（RSS）、國際機器學習與應用會議（ICMLA）等。
