Advances in Deep Learning
暫譯: 深度學習的進展
Wani, M. Arif, Bhat, Farooq Ahmad, Afzal, Saduf
- 出版商: Springer
- 出版日期: 2019-03-25
- 售價: $7,820
- 貴賓價: 9.5 折 $7,429
- 語言: 英文
- 頁數: 149
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811367930
- ISBN-13: 9789811367939
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.
商品描述(中文翻譯)
本書向讀者介紹深度網絡模型中的基本和進階概念。它涵蓋了許多研究人員目前正在使用的最先進的深度架構，以克服傳統人工神經網絡的限制。書中詳細討論了各種深度架構模型及其組件，並通過算法和選定的應用進行說明。此外，本書詳細解釋了轉移學習方法，以加速深度模型的訓練；該方法還在大量的指紋和人臉圖像數據集上進行了演示。最後，書中討論了與這些模型相關的獨特問題和挑戰。
作者簡介
Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi and his PhD in Computer Vision at Cardiff University, UK. Currently, he is a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield. His main research interests are in gene expression datasets, face recognition techniques/algorithms, artificial neural networks and deep architectures. He has published many papers in reputed journals and conferences in these areas. He was honored with The International Technology Institute Award in 2002 by the International Technology Institute, California, USA. He is a member of many academic and professional bodies, e.g. the Indian Society for Technical Education, Computer Society of India, IEEE USA and Optical Society of America.
Dr. Farooq Ahmad Bhat completed his MPhil and PhD in Computer Science at the University of Kashmir. His dissertation focused on 'Efficient and robust convolutional neural network based models for face recognition'. Currently, his main interests are in artificial intelligence, machine learning and deep learning, areas in which he has published many articles.
Dr. Saduf Afzal teaches at the Islamic University of Science and Technology, Kashmir, India. She completed her BCA, MCA, MPhil and PhD at the Department of Computer Science, University of Kashmir. She has also worked as an academic counselor for the MCA program at IGNOU University. Her main research interests are in machine learning, deep learning and neural networks. She has published many articles in high-impact journals and conference proceedings.
Dr. Asif Iqbal Khan currently works as a Lecturer in the Higher Education Department, Kashmir, India. He completed his MCA, MPhil and PhD at the Department of Computer Science, University of Kashmir. His main research interests are in machine learning, deep learning, and image processing. He is actively publishing in these areas.
作者簡介(中文翻譯)
穆罕默德·阿里夫·瓦尼教授在印度德里印度理工學院完成了計算機技術的碩士學位（M.Tech.），並在英國卡迪夫大學獲得計算機視覺的博士學位（PhD）。目前，他是克什米爾大學的教授，之前曾擔任加州州立大學貝克斯菲爾德分校的教授。他的主要研究興趣包括基因表達數據集、人臉識別技術/算法、人工神經網絡和深度架構。他在這些領域發表了許多論文於知名期刊和會議上。2002年，他獲得了美國加州國際技術學院頒發的國際技術學院獎。他是多個學術和專業機構的成員，例如印度技術教育學會、印度計算機學會、美國IEEE和美國光學學會。
法魯克·艾哈邁德·巴特博士在克什米爾大學完成了計算機科學的碩士研究（MPhil）和博士學位（PhD）。他的論文專注於「基於高效且穩健的卷積神經網絡的人臉識別模型」。目前，他的主要興趣在於人工智慧、機器學習和深度學習，並在這些領域發表了許多文章。
薩杜夫·阿夫扎爾博士在印度克什米爾的科學與技術伊斯蘭大學任教。她在克什米爾大學計算機科學系完成了BCA、MCA、MPhil和PhD學位。她還曾擔任IGNOU大學MCA課程的學術顧問。她的主要研究興趣在於機器學習、深度學習和神經網絡。她在高影響力的期刊和會議論文集中發表了許多文章。
阿西夫·伊克巴爾·汗博士目前在印度克什米爾的高等教育部擔任講師。他在克什米爾大學計算機科學系完成了MCA、MPhil和PhD學位。他的主要研究興趣在於機器學習、深度學習和圖像處理。他在這些領域積極發表研究成果。
