000			02727cam a2200361 i 4500
001			22376710
005			20230912090935.0
007			ta
008			220110s2021 nyua gr 001 0 eng d
010			_a 2021425412
020			_a9781617296864 _q(pbk.)
035			_a(OCoLC)on1289290141
040			_aUKMGB _beng _cEC-QuPUC _erda _fCarmen Guachamín
041			_aenm
082	0	4	_a006.31 _bC453d _a2021 _223a ed.
100			_aChollet, Francois, _eorg _982137
245	1	0	_aDeep learning with Python / _cFrançois Chollet.
250			_aSecond edition.
264		1	_aShelter Island : _bManning Publications, _c2021
300			_axxiii, 478 pages : _bcolor illustrations ; _c24 cm
336			_atxt
337			_an
338			_anc
500			_aPrevious edition: 2018.
500			_aIncludes index.
505	0		_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.
520			_aRecent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep 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 illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications.--
650		7	_aAprendizaje automático (Inteligencia artificial) _945327
650		7	_aPython (Lenguaje de programación de computadores) _2ARMARC 2.0 en línea _958039
650		0	_aRedes neuronales (Computadores) _2ARMARC 2.0 en línea _966724
856			_uhttps://puce.odilo.us/info/deep-learning-with-python-03354805
942			_cBK
999			_c285735 _d285733