000			02672cam a2200373 i 4500
001			22376710
003			SA-RiNAUS
005			20250904121540.0
008			220110s2021 xxua g b 001 0 eng d
020			_a9781617296864
020			_a1617296864
040			_aSA-RiNAUS _bara _cSA-RiNAUS _erda
082	0	4	_a006.31 _223 _bC F D
100	1		_aChollet, François, _eauthor. _943640
245	1	0	_aDeep learning with Python / _cFrançois Chollet.
250			_aSecond edition.
264		1	_aShelter Island : _bManning Publications, _c[2021]
264		4	_c©2021
300			_axxiii, 478 pages : _bcolor illustrations ; _c24 cm
500			_aPrevious edition : 2018.
500			_aIncludes index.
500			_aمقررات دراسية 2025-2026.
500			_aمقررات دراسية لطلاب الجامعة 2024.
504			_a.Includes bibliographical references
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	0		_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		4	_aPython (Computer program language)
650		4	_aMachine learning.
650		4	_aNeural networks (Computer science) _930334
942			_2ddc _cBK
999			_c34806 _d34805