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Deep Learning project

Defense Advanced Research Projects Agency Deep Learning... [Pg.127]

Considering the high frequency of potential chemical risk and the wide diversity of the substances that might be involved, it is important to better understand the deep mechanisms of the chemical reactivity of irritants and corrosives on the eye. This will help to optimize the management of eye chemical projections. Besides, we have learned by experience that the rapidity and efficiency of tlie emergency decontamination are decisive parameters in order to prevent the development of potentially severe lesions and after-effects due to the chemical eye bum. [Pg.18]

What was quite surprising was that I wasn t just applying the knowledge that I learnt from the first half of the course, I was really learning more all the time throughout the research project. By the end of it, I really felt like I d built up a deep understanding of the area I was working in . (Will Soutter, 2010-2011 MSc cohort). ... [Pg.160]

Vogel, M. Kunz-Vondracek, 1.2013. Safety and health in long deep tunneling-lessons learned in Swiss transalpine tunnel projects. World Tunnel Congress 2013. Geneva. [Pg.424]


See other pages where Deep Learning project is mentioned: [Pg.126]    [Pg.126]    [Pg.323]    [Pg.374]    [Pg.119]    [Pg.216]    [Pg.155]    [Pg.350]    [Pg.52]    [Pg.14]    [Pg.129]    [Pg.142]    [Pg.503]    [Pg.337]    [Pg.265]    [Pg.163]    [Pg.22]    [Pg.912]    [Pg.251]   
See also in sourсe #XX -- [ Pg.126 ]




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