Deep Learning and Practice with Mindspore
暫譯: 深度學習與 Mindspore 實務應用

Lei, Chen, Yunhui, Zeng

Deep Learning and Practice with Mindspore
  • 出版商: Springer
  • 出版日期: 2021-08-18
  • 售價: $7,940
  • 貴賓價: 9.5 折 $7,543
  • 語言: 英文
  • 頁數: 398
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811622329
  • ISBN-13: 9789811622328
  • 相關分類: 數位訊號處理 Dsp、DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.

商品描述(中文翻譯)

本書系統性地向讀者介紹深度學習的理論，並基於 MindSpore AI 計算框架探討其實際應用。全書分為 14 章，涵蓋深度學習、深度神經網絡 (DNNs)、卷積神經網絡 (CNNs)、遞迴神經網絡 (RNNs)、無監督學習、深度強化學習、自動化機器學習、設備-雲端協作、深度學習可視化以及深度學習數據準備。為了幫助澄清所討論的複雜主題，本書包含了大量的範例和連結至線上資源。

作者簡介

Chen Lei is a Chair Professor of the Department of Computer Science and Engineering and the Director of the Big Data Institute at Hong Kong University of Science and Technology (HKUST). His research focuses on data-driven AI, human-powered machine learning, knowledge graphs, and data mining on social media. He has published more than 400 papers in world-renowned journals and conference proceedings and won the 2015 SIGMOD Test of Time Award. Currently, he serves as the Editor-in-Chief of the VLDB 2019 Journal, the Associate Editor-in-Chief of the IEEE TKDE Journal, and an executive member of the VLDB Endowment. He is also IEEE Fellow and ACM Distinguished Scientist.

作者簡介(中文翻譯)

陳雷是香港科技大學（HKUST）計算機科學與工程系的講座教授及大數據研究所所長。他的研究專注於數據驅動的人工智慧、人力驅動的機器學習、知識圖譜以及社交媒體上的數據挖掘。他在世界知名的期刊和會議論文集中發表了超過400篇論文，並於2015年獲得SIGMOD Test of Time Award。目前，他擔任VLDB 2019期刊的主編、IEEE TKDE期刊的副主編，以及VLDB基金會的執行委員會成員。他同時也是IEEE Fellow和ACM傑出科學家。

類似商品