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  • TensorFlow for dummies
  • 點閱:18
  • 作者: by Matthew Scarpino
  • 出版社:John Wiley & Sons, Inc.
  • 出版年:c2018
  • 集叢名:For dummies
  • ISBN:9781119466215; 9781119466192; 9781119466208
  • 格式:EPUB 流式,PDF,JPG
  • 附註:Includes index. "Learning made easy"--Cover.

Become a machine learning pro!
 
Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool!
 
Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence.

 
Install TensorFlow on your computer
Learn the fundamentals of statistical regression and neural networks
Visualize the machine learning process with TensorBoard
Perform image recognition with convolutional neural networks (CNNs)
Analyze sequential data with recurrent neural networks (RNNs)
Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP)
 
If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.


ABOUT THE AUTHOR

Matthew Scarpino has been a programmer and engineer for more than 20 years. He has worked extensively with machine learning applications, especially those involving financial analysis, cognitive modeling, and image recognition. Matthew is a Google Certified Data Engineer and blogs about TensorFlow at tfblog.com.

  • INTRODUCTION(第1頁)
    • About This Book(第1頁)
    • Foolish Assumptions(第2頁)
    • Icons Used in This Book(第2頁)
    • Beyond the Book(第3頁)
    • Where to Go from Here(第4頁)
  • PART 1: GETTING TO KNOW TENSORFLOW(第5頁)
    • CHAPTER 1: Introducing Machine Learning with TensorFlow (第7頁)
    • CHAPTER 2: Getting Your Feet Wet(第17頁)
    • CHAPTER 3: Creating Tensors and Operations (第27頁)
    • CHAPTER 4: Executing Graphs in Sessions(第45頁)
    • CHAPTER 5: Training(第65頁)
  • PART 2: IMPLEMENTING MACHINE LEARNING(第97頁)
    • CHAPTER 6: Analyzing Data with Statistical Regression(第99頁)
    • CHAPTER 7: Introducing Neural Networks and Deep Learning(第117頁)
    • CHAPTER 8: Classifying Images with Convolutional Neural Networks (CNNs)(第149頁)
    • CHAPTER 9: Analyzing Sequential Data with Recurrent Neural Networks (RNNs)(第179頁)
  • PART 3: SIMPLIFYING AND ACCELERATING TENSORFLOW(第199頁)
    • CHAPTER 10: Accessing Data with Datasets and Iterators(第201頁)
    • CHAPTER 11: Using Threads, Devices, and Clusters(第225頁)
    • CHAPTER 12: Developing Applications with Estimators(第247頁)
    • CHAPTER 13: Running Applications on the Google Cloud Platform (GCP)(第277頁)
  • PART 4: THE PART OF TENS(第307頁)
    • CHAPTER 14: The Ten Most Important Classes(第309頁)
    • CHAPTER 15: Ten Recommendations for Training Neural Networks(第315頁)
  • INDEX(第319頁)
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