000 | 02356nam a22003377a 4500 | ||
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003 | ZW-GwMSU | ||
005 | 20240801084021.0 | ||
008 | 240726b |||||||| |||| 00| 0 eng d | ||
020 | _a9781617297717 | ||
020 | _a9781617297717 | ||
040 |
_arda _bEnglish _cMSULIB _erda |
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050 | 0 | 0 | _aQ325.5 MAT |
100 | 1 |
_aMattmann, Chris. _eauthor. |
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245 | 1 | 0 |
_aMachine learning with tensorflow / _ccreated by Chris Mattmann ; foreword by Scott Penberthy. |
250 | _aSecond edition. | ||
264 | 1 |
_bManning Publications Company, _c2020 |
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264 | 4 | _c©2020 | |
300 |
_axxix, 420 pages : _billustrations ; _c24 cm |
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336 |
_atext _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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504 | _aIncludes index. | ||
505 | 0 | _aPart 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. | |
520 | _aUpdated 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.-- | ||
650 | 0 | _aMachine learning. | |
650 | 0 | _aData mining. | |
650 | 0 | _aComputer algorithms. | |
650 | 0 | _aProgramming languages (Electronic computers) | |
700 | 1 |
_aPenberthy, Scott. _ewriter of foreword. |
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942 |
_2lcc _cB |
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999 |
_c166297 _d166297 |