Deep Learning and Its Applications Using Python
Basha, Niha Kamal, Bhatia Khan, Surbhi, Kumar, Abhishek
- 出版商: Wiley-Scrivener
- 出版日期: 2023-10-31
- 售價: $6,660
- 貴賓價: 9.5 折 $6,327
- 語言: 英文
- 頁數: 256
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 139416646X
- ISBN-13: 9781394166466
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相關分類:
Python、程式語言、DeepLearning
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相關主題
商品描述
This practical book gives a detailed description of deep learning models and their implementation using Python programming relating to computer vision, natural language processing, and other applications.
This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning. Readers/users will discover
- A precise description of deep learning history, fundamental concepts, and background information relating to deep learning;
- A detailed introduction to several concepts including tensorflow and keras, starting from the fundamentals to the application-based concept implementation using Python;
- Explanations of multilayer perceptron, convolutional neural network, recurrent neural network, and long short-term memory in terms of applications like chatbot, face detection and recognition;
- Advanced deep learning concepts along with their future research advancements;
- Assist in building the reader's understanding through intuitive explanations and practical examples by exploring challenging concepts in the related applications of computer vision, natural language processing, and other models.
Audience
The book is ideal for computer science researchers, industry professionals, as well as postgraduate and undergraduate students who want to learn how to program deep learning models using Python.
商品描述(中文翻譯)
深度學習及其在 Python 中的應用
這本實用的書籍詳細描述了深度學習模型及其在計算機視覺、自然語言處理和其他應用中的實現,使用 Python 程式語言。
本書徹底解釋了深度學習模型,以及如何使用 Python 程式語言將其應用於自然語言處理、臉部檢測、臉部識別、臉部分析和虛擬助手(聊天機器人、機器翻譯等)等應用中。它提供了使用 Python 實現深度學習應用模型的實用指導,並指出了深度學習的未來研究方向。讀者/使用者將會發現:
- 深度學習歷史、基本概念及相關背景資訊的精確描述;
- 對多個概念的詳細介紹,包括 tensorflow 和 keras,從基本原理到基於應用的概念實現,使用 Python;
- 關於多層感知器、卷積神經網絡、遞迴神經網絡和長短期記憶的解釋,涉及聊天機器人、臉部檢測和識別等應用;
- 先進的深度學習概念及其未來研究進展;
- 通過直觀的解釋和實際範例,幫助讀者建立理解,探索計算機視覺、自然語言處理及其他模型相關應用中的挑戰性概念。
讀者對象
本書非常適合計算機科學研究人員、業界專業人士,以及希望學習如何使用 Python 程式設計深度學習模型的研究生和本科生。
作者簡介
Niha Kamal Basha is an assistant professor in the Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Science and Technology, India. She has received a number of awards and published numerous research articles in peer-reviewed journals.
Surbhi Bhatia, PhD, is an assistant professor in the Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 10 years of teaching experience in different universities in India and Saudi Arabia. She has published many articles in peer-reviewed journals, authored or edited 9 books, and has been granted 8 national and international patents.
Abhishek Kumar gained his PhD in computer science from the University of Madras, India in 2019. He is assistant director/associate professor in the Computer Science & Engineering Department, Chandigarh University, Punjab, India. He has more than 100 publications in peer-reviewed international and national journals, books & conferences. His research interests include artificial intelligence, image processing, computer vision, data mining, and machine learning.
Arwa Mashat, gained her PhD in Instructional Design and Technology from Old Dominion University, Virginia, USA in 2017. She has a rich 14 years of teaching and academic experience. She is currently an assistant professor at the College of Computing and Information Technology, King Abdulaziz University, Saudi Arabia. She is currently the Vice Dean for two colleges; the College of Computing and Information Technology and the Applied College at King Abdulaziz University. She has published many research papers in reputed journals.
作者簡介(中文翻譯)
Niha Kamal Basha 是印度維洛爾科技學院計算機科學與工程學院資訊安全系的助理教授。她獲得了多項獎項,並在同行評審的期刊上發表了許多研究文章。
Surbhi Bhatia, PhD,是沙烏地阿拉伯費薩爾國王大學計算機科學與資訊技術學院資訊系的助理教授。她在印度和沙烏地阿拉伯的不同大學擁有超過10年的教學經驗。她在同行評審的期刊上發表了許多文章,撰寫或編輯了9本書籍,並獲得了8項國內外專利。
Abhishek Kumar 於2019年在印度馬德拉斯大學獲得計算機科學博士學位。他是印度旁遮普昌迪加爾大學計算機科學與工程系的助理主任/副教授。他在同行評審的國際和國內期刊、書籍及會議上發表了超過100篇文章。他的研究興趣包括人工智慧、影像處理、計算機視覺、資料探勘和機器學習。
Arwa Mashat 於2017年在美國維吉尼亞州的老道明大學獲得教學設計與技術博士學位。她擁有14年的豐富教學和學術經驗。她目前是沙烏地阿拉伯阿卜杜勒阿齊茲國王大學計算與資訊技術學院的助理教授。她目前擔任兩個學院的副院長;計算與資訊技術學院和應用學院。她在知名期刊上發表了許多研究論文。