Machine Learning with TensorFlow
Mattmann, Chris A.

 

  • Machine Learning with TensorFlow
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    作者: MattmannChris A.,
    其他作者: PenberthyScott.,
    出版地: Shelter Island, NY
    出版者: Manning Publications Co.;
    出版年: c2020.
    版本: 2nd ed.
    面頁冊數: xxix, 420 p.ill. : 24 cm.;
    標題: Machine learning. -
    標題: Data mining. -
    標題: Computer algorithms. -
    標題: Programming languages (Electronic computers) -
    標題: Computer algorithms. -
    標題: Data mining. -
    標題: Machine learning. -
    標題: Programming languages (Electronic computers) -
    附註: Includes index.
    摘要註: Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.--Source other than the Library of Congress.
    ISBN: 9781617297717
    內容註: Part 1. Your machine-learning rig. 1. A machine-learning odyssey 2. TensorFlow essentials Part 2. Core learning algorithms. 3. Linear regression and beyond 4. Using regression for call-center volume prediction 5. A gentle introduction to classification 6. Sentiment classification : large movie-review dataset 7. Automatically clustering data 8. Inferring user activity from Android accelerometer data 9. Hidden Markov models 10. Part-of-speech tagging and word-sense disambiguation Part 3. The neural network paradigm. 11. A peek into autoencoders 12. Applying autoencoders: the CIFAR-10 image dataset 13. Reinforcement learning 14. Convolutional neural networks 15. Building a real-world CNN: VGG-Face and VGG-Face Lite 16. Recurrent neural networks 17. LSTMs and automatic speech recognition 18. Sequence=to-sequence models for chatbots 19. Utility landscape.
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