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DL4J or Deeplearn­ing4J is an open source deep learn­ing li­brary which is tar­geted at Java/Scala. It can be di­rectly used for deep learn­ing im­ple­men­ta­tions by non-re­searchers in an eas­ier man­ner com­pared to Theano. It al­lows the de­vel­op­ment of faster pro­to­typ­ing, and is avail­able un­der the Apache 2.0 li­cence. The DL4J use cases are listed below: Im­age recog­ni­tion Speech pro­cess­ing Spam fil­ter­ing E-com­merce fraud de­tec­tion, etc The im­por­tant fea­tures of DL4J are: GPU in­te­gra­tion Ro­bust n-di­men­sional ar­ray han­dling Hadoop and Spark scal­a­bil­ity ND4J, which is a lin­ear al­ge­bra li­brary, and runs 200 per cent faster than Numpy Canova, which is a vec­tori­sa­tion tool for ma­chine learn­ing li­braries. The neu­ral net­work ar­chi­tec­tures sup­ported by DL4J are shown in Fig­ure 6.

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