OpenSource For You - - FOR U & ME -

Torch is a frame­work for sci­en­tific com­put­ing. It has great sup­port for many ma­chine learn­ing al­go­rithms. It is based on a faster script­ing lan­guage called LuaJIT, C and CUDA im­ple­men­ta­tions. The pri­mary fea­tures of Torch are: Neu­ral net­work and en­ergy based mod­els Quick and ef­fi­cient GPU sup­port It has em­bed­dable ports for iOS and An­droid Ro­bust and pow­er­ful N-di­men­sional ar­ray han­dling Many func­tions for in­dex­ing, slic­ing and trans­pos­ing Comes with a large ecosys­tem of com­mu­nity-driven pack­ages for com­puter vi­sion, ma­chine learn­ing, etc Apart from the soft­ware li­braries high­lighted in this ar­ti­cle, there are var­i­ous other op­tions for deep learn­ing de­vel­op­ment like Deep­net, Hebel, Deeppy, Neon, In­tel Deep learn­ing frame­work and Mocha. As the field of deep learn­ing is in its early stages and the best is yet to come, it can be con­fi­dently said that in the years ahead, deep learn­ing will emerge as a game changer with ap­pli­ca­tions in var­i­ous do­mains.

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