02438nam a22004457a 4500 19134018 Ge_NSL 20231227114510.0 231227s20162016us ||||| |||| 00| 0 eng d 2016022992 9780262035613 (hardcover : alk. paper) 0262035618 (hardcover : alk. paper) DLC eng DLC rda DLC eng pcc Q325.5 .G66 2016 004 006.3/1 23 Goodfellow, Ian 285315 Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville. Cambridge, Massachusetts : The MIT Press, [2016], ©2016. xxii, 775 p. : ill. (some col.) ; 24 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Adaptive computation and machine learning Includes bibliographical references (pages 711-766) and index. Applied 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 learning, 5593 საინფორმაციო ტექნოლოგიები კომპიუტერული ტექნოლოგიები მანქანური სწავლება მანქანური სწავლების საფუძვლები გამოყენებიტი მათემატიკა Bengio, Yoshua 285316 Courville, Aaron 285317 7 cbc orignew 1 ecip 20 y-gencatlg udc BK 0 0 udc 0 0 CPL CPL hall 5 2023-12-27 0 004 2023-565001953447404 2023-12-27 11:45:38 2E65572 2023-12-27 BK 726271 726269