000			01221nam a22001817a 4500
020			_a978-93-5213-871-5
082			_a006.31 _bFOS-G
100			_aFoster, David
245			_aGenerative deep learning : _b Teaching machines to paint, write, compose, and play _cDAVID FOSTER
250			_a1 Ed.
260			_aMumbai: _bO'Reilly: Shroff Publishers and Distributors, _cc.2019.
300			_axv+308p.
505			_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			_aWith 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.
650			_a Machine learning. Artificial intelligence. Neural networks (Computer science) Generative programming (Computer science)
700			_aDemarest, Rebecca
942			_cBK
999			_c297337 _d297337