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2018-10-18
14:35
Neural networks and deep learning / Aggarwal, Charu C
New York, NY : Springer, 2018. - mult p.
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2018-10-18
14:25
Deep learning through sparse and low-rank modeling / Wang, Zhangyang
Cambridge, MA : Academic Press, 2019. - mult p.
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2018-10-18
14:20
Deep learning in object detection and recognition / Jiang, Xiaoyue (ed.) ; Hadid, Abdenour (ed.) ; Pang, Yanwei (ed.) ; Granger, Eric (ed.) ; Feng, Xiaoyi (ed.)
New York, NY : Springer, 2019. - mult p.
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2018-10-18
14:13
Empirical approach to machine learning / Angelov , Plamen P.
New York, NY : Springer, 2019. - mult p.
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2018-10-18
14:06
Cover not available Introduction to deep learning / Charniak, Eugene
Cambridge, MA : The MIT Press, 2019. - mult p.
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2018-10-18
14:00
Learning representation for multi-view data analysis : models and applications / Ding, Zhengming
New York, NY : Springer, 2019. - mult p.
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2018-10-18
13:53
Cover not available Multiview machine learning for data analysis / Sun, Shiliang
New York, NY : Springer, 2019. - mult p.
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2018-10-17
08:10
Bravissimo! 4 : corso d'italiano : libro dello studente : B2 / Birello, Marilisa
2015. - 198 p. ; 1 CD-ROM suppl.
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2018-10-11
15:00
Entre nous 2 : A2 : méthode de français : livre de l’élève + cahier d’activités + CD / Chahi, Fatiha
Paris : Maison des langues, 2015. - 232 p. ; 1 CD-ROM suppl.
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2018-10-11
07:56
Programming in Lua . - 4th ed. / Ierusalimschy, Roberto
Lua is spreading more and more throughout different areas of software, from embedded systems and mobile devices to the Web and the Internet of Things [...]
Rio de Janeiro : Lua.org, 2016. - 369 p.
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