01860nam a2200289 i 4500991003577709707536180911s2016 maua b 001 0 eng d9780262035613b14354706-39ule_instBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazioneeng006.3123Goodfellow, Ian752902Deep learning /Ian Goodfellow, Yoshua Bengio, and Aaron CourvilleCambridge, Massachusetts :The MIT Press,c2016xxii, 775 p. :ill. (some color) ;24 cmAdaptive computation and machine learningIncludes bibliographical references and indexApplied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.Machine learningBengio, Yoshuaauthorhttp://id.loc.gov/vocabulary/relators/aut752903Courville, Aaron.b1435470604-12-1829-11-18991003577709707536LE026 006.31 GOO 01.01 201612026000073033le026Prof. Ricci / BibliotecapE82.50-l- 45050.i1587075304-12-18Deep learning1749342UNISALENTOle02611-09-18ma engmau00