000			01782nam a2200241Ia 4500
003			NULRC
005			20250520103029.0
008			250520s9999 xx 000 0 und d
020			_a9781617296864
040			_cNULRC
050			_aQA 76.73 .C46 2021
100			_aChollet, Francois _eauthor
245		0	_aDeep learning with python / _cFrancois Chollet
250			_aSECOND EDITION
260			_aShelter Island, NY : _bManning Publications, _cc2021
300			_axxiv, 478 pages : _bcolor illustrations ; _c24 cm.
365			_bUSD43
504			_aIncludes index.
505			_a1. What is deep learning? -- 2. The mathematical building blocks of neural networks -- 3. Introduction to Keras and TensorFlow -- 4. Getting started with neural networks: classification and regression -- 5. Fundamentals of machine learning -- 6. The universal workflow of machine learning -- 7. Working with Keras: a deep dive -- 8. Introduction to deep learning for computer vision -- 9. Advanced deep learning for computer vision -- 10. Deep learning for timeseries -- 11. Deep learning for text -- 12. Generative deep learning -- 13. Best practices for the real world -- 14. Conclusions -- Index.
520			_aDeep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-learning applications.
650			_aMACHINE LEARNING
942			_2lcc _cBK
999			_c21790 _d21790