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008 240726b |||||||| |||| 00| 0 eng d
020 _a9781617297717
020 _a9781617297717
040 _arda
_bEnglish
_cMSULIB
_erda
050 0 0 _aQ325.5 MAT
100 1 _aMattmann, Chris.
_eauthor.
245 1 0 _aMachine learning with tensorflow /
_ccreated by Chris Mattmann ; foreword by Scott Penberthy.
250 _aSecond edition.
264 1 _bManning Publications Company,
_c2020
264 4 _c©2020
300 _axxix, 420 pages :
_billustrations ;
_c24 cm
336 _atext
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
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.
942 _2lcc
_cB
999 _c166297
_d166297