000			02214cam a2200409 i 4500
001			22376710
003			OSt
005			20240716091442.0
008			220110s2021 nyua 001 0 eng d
010			_a 2021425412
015			_aGBC1J3389 _2bnb
016	7		_a020401565 _2Uk
020			_a1617296864
035			_a(OCoLC)on1289290141
040			_aUKMGB _beng _cUKMGB _erda _dGUA _dJRZ _dDLC
042			_alccopycat
050	0	0	_aQA76.73.P98 _bC46 2021
100	1		_aChollet, François,
245	1	0	_aDeep learning with Python / _cFrançois Chollet.
250			_a2nd ed.
264		1	_aShelter Island : _bManning Publications, _c[2021]
264		4	_c©2021
300			_axxiii, 478 p.
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_aPrevious edition: 2018.
500			_aIncludes index.
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.-- _cSource other than the Library of Congress.
650		0	_aPython (Computer program language)
650		0	_aMachine learning.
650		0	_aNeural networks (Computer science)
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c20471 _d20470