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100   $a20230628d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAdvances and Applications in Deep Learning /$fedited by Marco Antonio Aceves-Fernandez
210  1$aLondon, England :$cIntechOpen,$d2020.
215   $a1 online resource (122 pages)
225 0 $aArtificial Intelligence ;$vVolume 4
311   $a1-83962-880-4 
330   $aArtificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.
606   $aDeep learning (Machine learning)
606   $aArtificial intelligence
615  0$aDeep learning (Machine learning)
615  0$aArtificial intelligence.
676   $a006.31
702   $aAceves-Fernandez$b Marco Antonio
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910688212303321
996   $aAdvances and Applications in Deep Learning$92033684
997   $aUNINA