000			01195nam a22002297a 4500
003			OSt
005			20240923112846.0
007			ta
008			230426b xxu |||||||| |||| 00| 0 eng d
020			_a978-0-262-03561-3
040			_aUNAJMA _bspa _cepis
043			_aR
082			_a006.3 _b G72
100			_a Goodfellow Ian, Yoshua Bengio, and Aaron Courville _98298
245			_aDeep Learning : _cIan Goodfellow,
250			_a1a ed.
260			_aEstados Unidos _bThe mit press _c2016
300			_a800 _c16 cm
505			_aIntroduction -- Linear Algebra -- Probability and Information Theory -- Numerical Computation -- Machine Learning Basics -- Deep Feedforward Networks -- Regularization for Deep Learning -- Optimization for Training Deep Models -- Comvolutional Networks -- Sequence Modeling: Recurrent and Recursive Nets -- Practical Methodology -- Applications -- Linear Factos Models -- Autoencoders -- Representation Learning -- Structured probabilistic Models for Deep Learning -- Monte Carlo Methods -- Confronting the Partition Function -- Approximate Inference -- Deep Generative Models
700			_aYoshua Bengio, and Aaron Courville _99573
942			_2ddc _cLIB
999			_c13212 _d13192