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003			JO-AjAnu
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008			201007t20192019caua b 001 0 eng d
010			_a 2020301449
015			_aGBB9B6664 _2bnb
016	7		_a019453762 _2Uk
020			_a9781492041948 _q(paperback)
020			_a1492041947 _q(paperback)
035			_a(OCoLC)on1083570909
040			_aYDX _beng _cYDX _erda _dBDX _dUKMGB _dOCLCO _dYDX _dUOK _dOCLCF _dCOO _dYDXIT _dJRZ _dOCLCQ _dUAP _dDLC _dJO-AjAnu
042			_alccopycat
050	0	0	_aQ325.5 _b.F67 2019
082	0	4	_a006.3/1 _223
100	1		_aFoster, David _c(Business consultant), _eauthor.
245	1	0	_aGenerative deep learning : _bteaching machines to paint, write, compose, and play / _cDavid Foster.
250			_aFirst edition.
264		1	_aSebastopol, CA : _bO'Reilly Media, Inc., _c2023.
264		4	_c©2019
300			_axv, 308 pages : _billustrations (chiefly color) ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aPart 1. Introduction to generative deep learning. Generative modeling -- Deep learning -- Variational autoencoders -- Generative adversarial networks -- Part 2. Teaching machines to paint, write, compose, and play. Paint -- Write -- Compose -- Play -- The future of generative modeling -- Conclusion.
520			_a"Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders, generative adversarial networks (GANs), encoder-decoder models, and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative."--Amazon.com.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		0	_aNeural networks (Computer science)
650		0	_aGenerative programming (Computer science)
650		7	_aArtificial intelligence. _2fast _0(OCoLC)fst00817247
650		7	_aGenerative programming (Computer science) _2fast _0(OCoLC)fst00939967
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795
650		7	_aNeural networks (Computer science) _2fast _0(OCoLC)fst01036260
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK _n0
999			_c33807 _d33807