საქართველოს ტექნიკური უნივერსიტეტის ნიკო მუსხელიშვილის სახელობის საუნივერსიტეტო ბიბლიოთეკა

Niko Muskhelishvili University Library of Georgian Technical University

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Machine Learning with TensorFlow / Chris Mattmann ; foreword by Scott Penberthy.

By: Contributor(s): Material type: TextTextEdition: Second editionDescription: xxix, 420 pages : illustrations ; 24 cmISBN:
  • 9781617297717
  • 1617297712
Subject(s):
Contents:
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.
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. 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.--
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
ელ.უცხოური წიგნები / eForeign Books ელ.უცხოური წიგნები / eForeign Books ცენტრალური ბიბლიოთეკა / Central library კომპიუტერული დარ. / Computer hall 004.4 / CD-7349 (Browse shelf(Opens below)) 7349 Available 2024-3234

Includes index.

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.

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.--

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