[{"data":1,"prerenderedAt":172},["ShallowReactive",2],{"project-8813313":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":34,"aspects":35,"strip":39,"post_text":29,"what":41,"said":61,"maker_in_thread":110,"shape":114,"grid":118,"attempts":134,"same_week":135,"maker_shows":32,"maker_hidden":165,"reader_version":166,"card":167},"8813313","LambdaNet","A functional neural network library written in Haskell","title","Show HN: LambdaNet – A functional neural network library written in Haskell","https:\u002F\u002Fgithub.com\u002Fjbarrow\u002FLambdaNet","github.com","jbarrow",1419913195,2014,56,7,571,2272,26,"notable","ai","neural network library","library",[24,25,26,27],"neural network","haskell","machine learning","functional programming","quiet",null,{"positive":31,"neutral":32,"mixed":33,"critical":33},1,2,0,3,{"docs":36,"idea":37,"performance":38},{"positive":31,"critical":33},{"positive":33,"critical":33},{"positive":33,"critical":33},[40,34,33,33,33,34,33],5,{"problem":29,"audience":29,"pricing":29,"motivation":29,"time_to_build":29,"stack":42,"openness":59,"stage":60,"team_size":60},[43,49,55],{"value":44,"source":45,"evidence":46},"Haskell","maker",[47],{"id":48},"post",{"value":50,"source":45,"evidence":51},"HMatrix for linear algebra",[52],{"id":53,"by":11,"text":54},"8814644","It's reasonably fast, as it uses HMatrix for linear algebra -- HMatrix relies on BLAS rather than native Haskell for all the matrix and vector math.",{"value":56,"source":45,"evidence":57},"BLAS",[58],{"id":53,"by":11,"text":54},"open_source","unknown",{"praise":62,"objections":78,"requests":79,"questions":80,"alternatives":99},[63,71],{"value":64,"source":65,"evidence":66},"Source code is pleasant to read and looks interesting","commenter",[67],{"id":68,"by":69,"text":70},"8814441","jdiez17","Thanks for sharing this. I've been interested in Haskell for a while and I hadn't really started writing any actual programs until very recently[1]. I also wanted to learn about…",{"value":72,"source":65,"evidence":73},"Looks really cool",[74],{"id":75,"by":76,"text":77},"8813822","coolsunglasses","This looks really cool. Are there any papers that describe neural networks that function in a manner similar to how this library works?",[],[],[81,88,95],{"value":82,"source":65,"evidence":83},"How fast is it?",[84],{"id":85,"by":86,"text":87},"8813818","im3w1l","Looks very nice! May I ask how fast it is?",{"value":89,"source":65,"evidence":90},"Can neural networks be sped up with GPUs or supercomputers?",[91],{"id":92,"by":93,"text":94},"8814998","jokoon","off-topic question: is it possible to speed up a neuron network software using a gpu or specialized hardware running openCL ? what about using supercomputers ?",{"value":96,"source":65,"evidence":97},"Are there papers describing similar neural network designs?",[98],{"id":75,"by":76,"text":77},[100,106],{"value":101,"source":65,"evidence":102},"Theano",[103],{"id":104,"by":11,"text":105},"8815070","Actually, that's exactly how they speed up neural networks, especially deep neural networks. Andrew Ng showed that they could run the Google Brain on COTS GPUs for about $21,000…",{"value":107,"source":65,"evidence":108},"Caffe",[109],{"id":104,"by":11,"text":105},{"comments":32,"answered":32,"key":111},[112,113],{"id":104,"text":105},{"id":53,"text":54},{"commenters":115,"max_depth":32,"maker_replies":32,"first_comment_mins":116,"lifespan_hours":117},6,255,12,[119,121,123,127,129,130,132],[68,33,40,120,69,33],"project\u002Fpositive\u002Fdocs",[75,31,34,122,76,33],"project\u002Fneutral\u002Fidea",[124,31,33,125,126,33],"8813988","other\u002Fneutral\u002Fnone","boothead",[92,32,33,128,93,33],"other\u002Fneutral\u002Fperformance",[104,32,33,128,11,31],[85,34,34,131,86,33],"project\u002Fneutral\u002Fperformance",[53,34,33,133,11,31],"project\u002Fpositive\u002Fperformance",[],[136,141,146,151,155,160],{"id":137,"name":138,"points":139,"category":140},"8797155","H2O",251,"infrastructure",{"id":142,"name":143,"points":144,"category":145},"8809477","Hacker News",128,"consumer_social",{"id":147,"name":148,"points":149,"category":150},"8803139","webfont-dl",64,"dev_tools",{"id":152,"name":153,"points":14,"category":154},"8813867","#Startup","web_saas",{"id":156,"name":157,"points":158,"category":159},"8818870","crossfeed",51,"languages",{"id":161,"name":162,"points":163,"category":164},"8796263","Orthogami",49,"creative",false,"v2",{"id":168,"name":5,"line":6,"ai":165,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":169,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":170,"url":9,"mix":171,"praise":64,"objection":-1,"sub":21},8813313,[24,25,26,27],"5300030",[31,32,33,33],1794036526540]