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01466aam a2200325Ii 4500 001 B5515AFCA18B11E6AED112AEDAD10320 003 SILO 005 20161103010209 008 160721s2016 si a 001 0 eng d 020 $a 9813146451 020 $a 9789813146457 020 $a 9813146443 020 $a 9789813146440 035 $a (OCoLC)953843908 040 $a YDXCP $b eng $e rda $c YDXCP $d OCLCO $d YDX $d OCLCF $d MYG $d SINLB $d BTCTA $d OCL $d SILO 050 4 $a Q325.5 G73 2016 050 14 $a QA76.87 G73 2016 100 1 $a Graupe, Daniel, $e author. 245 10 $a Deep learning neural networks : $b design and case studies / $c Daniel Graupe. 264 1 $a Singapore ; $b World Scientific Publishing Co. Pte. Ltd., $c [2016] 300 $a xvi, 263 pages : $b illustrations ; $c 25 cm 500 $a Includes index. 505 0 $a Deep learning neural networks: methodology and scope -- Basic concepts of neural networks -- Back-propagation -- The cognitron and neocognitron -- Deep learning convolutional neural networks -- LAMSTAR-1 and LAMSTAR-2 neural networks -- Other neural networks for deep learning -- Case studies -- Concluding comments. 650 0 $a Neural networks (Computer science) $x Design. 650 0 $a Neural networks (Computer science) $v Problems, exercises, etc. 650 0 $a Machine learning. 941 $a 1 952 $l USUX851 $d 20220602014254.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=B5515AFCA18B11E6AED112AEDAD10320 994 $a C0 $b IWAInitiate Another SILO Locator Search