Deep Learning for Engineers

Arif, Tariq M., Rahim, Adilur

Deep Learning for Engineers
  • 出版商: CRC
  • 出版日期: 2024-02-28
  • 售價: $2,680
  • 貴賓價: 9.5 折 $2,546
  • 語言: 英文
  • 頁數: 158
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032515813
  • ISBN-13: 9781032515816
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

Introduces fundamental principles of deep learning with the explanation of basic elements required for understanding and applying deep learning models. Features coding structure using Python and PyTorch, presenting four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning.

商品描述(中文翻譯)

介紹深度學習的基本原理，並解釋了理解和應用深度學習模型所需的基本元素。使用Python和PyTorch進行編碼結構，並提供了四個典型的深度學習案例研究，包括圖像分類、物體檢測、語義分割和圖像標註。

作者簡介

Tariq M. Arif is an assistant professor in the Department of Mechanical Engineering at Weber State University, UT. Prior to that, he worked at the University of Wisconsin, Platteville, as a lecturer faculty. Tariq obtained his Ph.D. in 2017 from the Mechanical Engineering Department of New Jersey Institute of Technology (NJIT), NJ. His main research interests are in the area of artificial intelligence and genetic algorithms for robotics control, computer vision, and biomedical simulations of focused ultrasound. He completed his Masters in 2011 from the University of Tokushima, Japan, and B.Sc. in 2005 from Bangladesh University of Engineering and Technology (BUET).

Md Adilur Rahim is an accomplished engineer and researcher specializing in flood hazard characterization, risk assessment, and the application of advanced data analysis and deep learning techniques. Currently, he is working as a postdoctoral researcher at the Louisiana State University, AgCenter. He achieved his Ph.D. in Engineering Science in the summer of 2023 and M.Sc. in Civil Engineering in the spring of 2022 from Louisiana State University, LA. Earlier, in 2014, he graduated with a B.Sc. in Civil Engineering from the Bangladesh University of Engineering & Technology (BUET).

作者簡介(中文翻譯)

Tariq M. Arif是猶他州韋伯州立大學機械工程系的助理教授。在此之前，他曾在威斯康辛州普拉特維爾的威斯康辛大學擔任講師。Tariq於2017年從新澤西理工學院（NJIT）機械工程系獲得博士學位。他的主要研究興趣包括人工智能和遺傳算法在機器人控制、計算機視覺和聚焦超聲波生物醫學模擬方面的應用。他於2011年從日本德島大學獲得碩士學位，並於2005年從孟加拉國工程與技術大學（BUET）獲得學士學位。

Md Adilur Rahim是一位經驗豐富的工程師和研究人員，專注於洪水災害特性、風險評估以及先進數據分析和深度學習技術的應用。目前，他在路易斯安那州立大學農業中心擔任博士後研究員。他於2023年夏季獲得工程科學博士學位，並於2022年春季從路易斯安那州立大學獲得土木工程碩士學位。早些時候，他於2014年從孟加拉國工程與技術大學（BUET）獲得土木工程學士學位。

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