Machine Learning with TensorFlow /
by Mattmann, Chris A.,
Edition statement:Second edition. Physical details: xxix, 420 pages : illustrations ; 24 cm ISBN:9781617297717; 1617297712.| Item type | Current location | Call number | Copy number | Status | Date due |
|---|---|---|---|---|---|
| ელ.უცხოური წიგნები | ცენტრალური ბიბლიოთეკა კომპიუტერული დარ. / Computer hall | 004.4 / CD-7349 (Browse shelf) | 7349 | Available |
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.--
There are no comments for this item.