Practical MATLAB Deep Learning: A Projects-Based Approach 2/e

Paluszek, Michael, Thomas, Stephanie, Ham, Eric

Practical MATLAB Deep Learning: A Projects-Based Approach 2/e
  • 出版商: Apress
  • 出版日期: 2022-09-11
  • 售價: $2,170
  • 貴賓價: 9.5 折 $2,062
  • 語言: 英文
  • 頁數: 327
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484279115
  • ISBN-13: 9781484279113
  • 相關分類: Matlab、DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.

Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include:

 

  • Aircraft navigation
  • An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning
  • Stock market prediction
  • Natural language processing
  • Music creation usng generative deep learning
  • Plasma control
  • Earth sensor processing for spacecraft
  • MATLAB Bluetooth data acquisition applied to dance physics

 

 

 

 

 

 

 

 


What You Will Learn

  • Explore deep learning using MATLAB and compare it to algorithms
  • Write a deep learning function in MATLAB and train it with examples
  • Use MATLAB toolboxes related to deep learning
  • Implement tokamak disruption prediction
  • Now includes reinforcement learning

Who This Book Is For
Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.

商品描述(中文翻譯)

發揮MATLAB在深度學習挑戰中的威力。《實用MATLAB深度學習 第二版》是一本獨一無二的書籍，介紹了深度學習以及如何使用MATLAB的深度學習工具箱。在這本書中，您將看到這些工具箱提供了實現深度學習各個方面所需的完整功能集。本版新增和擴展了一些專案，並涵蓋了生成式深度學習和強化學習。

在本書中，您將學習對複雜系統進行建模，並將深度學習應用於這些領域的問題。應用包括：

- 飛機導航
- 使用強化學習在土星的衛星泰坦上降落的飛機
- 股市預測
- 自然語言處理
- 使用生成式深度學習創作音樂
- 等離子體控制
- 太空船的地球感測器處理
- 將MATLAB藍牙數據采集應用於舞蹈物理學

您將學到的內容包括：

- 使用MATLAB探索深度學習並將其與算法進行比較
- 在MATLAB中編寫深度學習函數並使用示例進行訓練
- 使用與深度學習相關的MATLAB工具箱
- 實現托卡馬克破壞預測
- 現在包括強化學習

本書適合工程師、數據科學家和學生，他們希望通過MATLAB豐富的深度學習實例來學習。

作者簡介

Michael Paluszek is the co-author of MATLAB Recipes published by Apress. He is President of Princeton Satellite Systems, Inc. (PSS) in Plainsboro, New Jersey. Mr. Paluszek founded PSS in 1992 to provide aerospace consulting services. He used MATLAB to develop the control system and simulation for the Indostar-1 geosynschronous communications satellite, resulting in the launch of PSS' first commercial MATLAB toolbox, the Spacecraft Control Toolbox, in 1995. Since then he has developed toolboxes and software packages for aircraft, submarines, robotics, and fusion propulsion, resulting in PSS' current extensive product line. He is currently leading an Army research contract for precision attitude control of small satellites and working with the Princeton Plasma Physics Laboratory on a compact nuclear fusion reactor for energy generation and propulsion. Prior to founding PSS, Mr. Paluszek was an engineer at GE Astro Space in East Windsor, NJ. At GE he designed the Global Geospace Science Polar despun platform control system and led the design of the GPS IIR attitude control system, the Inmarsat-3 attitude control systems and the Mars Observer delta-V control system, leveraging MATLAB for control design. Mr. Paluszek also worked on the attitude determination system for the DMSP meteorological satellites. Mr. Paluszek flew communication satellites on over twelve satellite launches, including the GSTAR III recovery, the first transfer of a satellite to an operational orbit using electric thrusters. At Draper Laboratory Mr. Paluszek worked on the Space Shuttle, Space Station and submarine navigation. His Space Station work included designing of Control Moment Gyro based control systems for attitude control. Mr. Paluszek received his bachelors in Electrical Engineering, and master's and engineer's degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology. He is author of numerous papers and has over a dozen U.S. Patents.
Stephanie Thomas is the co-author of MATLAB Recipes, published by Apress. She received her bachelor's and master's degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 1999 and 2001. Ms. Thomas was introduced to PSS' Spacecraft Control Toolbox for MATLAB during a summer internship in 1996 and has been using MATLAB for aerospace analysis ever since. She built a simulation of a lunar transfer vehicle in C++, LunarPilot, during the same internship. In her nearly 20 years of MATLAB experience, she has developed many software tools including the Solar Sail Module for the Spacecraft Control Toolbox; a proximity satellite operations toolbox for the Air Force; collision monitoring Simulink blocks for the Prisma satellite mission; and launch vehicle analysis tools in MATLAB and Java, to name a few. She has developed novel methods for space situation assessment such as a numeric approach to assessing the general rendezvous problem between any two satellites implemented in both MATLAB and C++. Ms. Thomas has contributed to PSS' Attitude and Orbit Control textbook, featuring examples using the Spacecraft Control Toolbox, and written many software User's Guides. She has conducted SCT training for engineers from diverse locales such as Australia, Canada, Brazil, and Thailand and has performed MATLAB consulting for NASA, the Air Force, and the European Space Agency.
Eric Ham is a a Technical Specialist, Princeton Satellite Systems. His expertise lies with deep learning, programming using MATLAB, C++ and related.

作者簡介(中文翻譯)

Michael Paluszek是《MATLAB Recipes》一書的合著者，該書由Apress出版。他是新澤西州普萊恩斯博羅的普林斯頓衛星系統公司（PSS）的總裁。Paluszek於1992年創辦了PSS，提供航天諮詢服務。他使用MATLAB開發了Indostar-1地球同步通信衛星的控制系統和模擬，並於1995年推出了PSS的第一個商業MATLAB工具箱，即Spacecraft Control Toolbox。此後，他開發了用於飛機、潛艇、機器人和融合推進的工具箱和軟件包，形成了PSS目前的廣泛產品線。他目前正在領導一項關於小型衛星精確姿態控制的陸軍研究合同，並與普林斯頓等離子物理實驗室合作研發一種用於能源生成和推進的緊湊核聚變反應堆。在創辦PSS之前，Paluszek曾在新澤西州伊斯特溫莎的GE Astro Space擔任工程師。在GE，他設計了全球地球空間科學極地去旋轉平台控制系統，並領導了GPS IIR姿態控制系統、Inmarsat-3姿態控制系統和火星觀測者增量速度控制系統的設計，利用MATLAB進行控制設計。Paluszek還參與了DMSP氣象衛星的姿態確定系統工作。Paluszek在十二次衛星發射中運營了通信衛星，包括GSTAR III的回收，這是首次使用電推進器將衛星轉移到運營軌道。在Draper實驗室，Paluszek參與了太空梭、太空站和潛艇導航的工作。他的太空站工作包括設計基於控制力矩陀螺的姿態控制系統。Paluszek在麻省理工學院獲得了電機工程學士學位，以及航空航天學碩士和工程師學位。他是許多論文的作者，並擁有十多項美國專利。

Stephanie Thomas是《MATLAB Recipes》一書的合著者，該書由Apress出版。她於1999年和2001年在麻省理工學院獲得航空航天學士和碩士學位。Thomas於1996年的暑期實習中首次接觸到PSS的MATLAB太空船控制工具箱，並從那時起一直在使用MATLAB進行航空航天分析。她在同一個實習期間使用C++建立了一個名為LunarPilot的月球轉移載具模擬器。在近20年的MATLAB經驗中，她開發了許多軟件工具，包括用於太空船控制工具箱的太陽帆模塊、用於空軍的近距離衛星操作工具箱、用於Prisma衛星任務的碰撞監測Simulink模塊，以及用於發射載具分析的MATLAB和Java工具，等等。她還開發了用於太空情況評估的新方法，例如在MATLAB和C++中實現的評估任意兩個衛星之間一般會合問題的數值方法。Thomas為PSS的姿態和軌道控制教材做出了貢獻，其中包括使用太空船控制工具箱的示例，並撰寫了許多軟件使用者指南。她曾為來自澳大利亞、加拿大、巴西和泰國等不同地方的工程師進行SCT培訓，並為NASA、空軍和歐洲太空總署提供MATLAB諮詢服務。

Eric Ham是普林斯頓衛星系統公司的技術專家。他擅長深度學習，並使用MATLAB、C++等相關語言進行編程。

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