[{"data":1,"prerenderedAt":168},["ShallowReactive",2],{"project-11696005":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":29,"sentiment":30,"stance_mix":31,"scored_comments":35,"aspects":36,"strip":40,"post_text":30,"what":43,"said":61,"maker_in_thread":102,"shape":104,"grid":108,"attempts":125,"same_week":131,"maker_shows":105,"maker_hidden":161,"reader_version":162,"card":163},"11696005","Neural Network Evolution Playground","Neural Network Evolution Playground with Backprop NEAT","title","Show HN: Neural Network Evolution Playground with Backprop NEAT","http:\u002F\u002Fblog.otoro.net\u002F2016\u002F05\u002F07\u002Fbackprop-neat\u002F","blog.otoro.net","hardmaru",1463232502,2016,73,7,526,2264,24,"notable","learning_science","neural network visualization","web_app",[24,25,26,27,28],"neuroevolution","neat","backpropagation","neural network","javascript","quiet",null,{"positive":32,"neutral":33,"mixed":34,"critical":32},1,2,0,4,{"docs":37,"idea":38,"execution":39},{"positive":34,"critical":32},{"positive":32,"critical":34},{"positive":34,"critical":34},[32,34,34,41,34,42,42],5,3,{"problem":30,"audience":30,"pricing":30,"motivation":30,"time_to_build":30,"stack":44,"openness":60,"stage":60,"team_size":60},[45,53],{"value":46,"source":47,"evidence":48},"JavaScript","commenter",[49],{"id":50,"by":51,"text":52},"11696720","danjoc","\"Forget Torch, Tensorflow, and Theano. I decided to implement Backprop NEAT in Javascript, because it is considered the best language for Deep Learning according to the Data…",{"value":54,"source":47,"evidence":55},"Recurrent.js",[56],{"id":57,"by":58,"text":59},"11697605","deepnet","Nice summary of NEAT. Given Neuro Evolution evolves efficient structure, this suggests training NEAT on a dataset produced by pre-trained deep networks could distill highly…","unknown",{"praise":62,"objections":71,"requests":87,"questions":88,"alternatives":93},[63],{"value":64,"source":47,"evidence":65},"Clear, nice write-up and summary of NEAT",[66,70],{"id":67,"by":68,"text":69},"11696790","tansey","Very nice write-up. Several years ago, I took a graduate class that covered NEAT and ended up doing a little project [0] to see if you could apply similar ideas (recurrent nets…",{"id":57,"by":58,"text":59},[72,80],{"value":73,"source":47,"evidence":74},"Claim that JavaScript is best for deep learning is unsupported (possibly sarcasm)",[75,76],{"id":50,"by":51,"text":52},{"id":77,"by":78,"text":79},"11696827","lawyao","I think it was meant to be sarcasm. Kind of like http:\u002F\u002Fwww.deepexcel.net\u002F",{"value":81,"source":47,"evidence":82},"NEAT may be too slow to compete with deep Q networks on visual signals",[83],{"id":84,"by":85,"text":86},"11697048","yarosal","Back in 2009, I have implmemted NEAT in c#, and applied it to solve Torcs CIG2009 challenge. It worked well, but took a lot of time to train (reinforcement learning). IMO neat…",[],[89],{"value":90,"source":47,"evidence":91},"How does JavaScript access GPUs for training?",[92],{"id":50,"by":51,"text":52},[94,98],{"value":95,"source":47,"evidence":96},"Torch, TensorFlow, Theano",[97],{"id":50,"by":51,"text":52},{"value":99,"source":47,"evidence":100},"Deep Q network",[101],{"id":84,"by":85,"text":86},{"comments":34,"answered":34,"key":103},[],{"commenters":105,"max_depth":42,"maker_replies":34,"first_comment_mins":106,"lifespan_hours":107},6,160,265,[109,111,113,115,117,119,121],[50,34,32,110,51,34],"project\u002Fcritical\u002Fdocs",[77,34,34,112,78,34],"commenter\u002Fneutral\u002Fnone",[114,34,34,112,51,34],"11697055",[57,32,41,116,58,34],"project\u002Fpositive\u002Fidea",[67,33,34,118,68,34],"commenter\u002Fpositive\u002Fidea",[84,42,42,120,85,34],"project\u002Fneutral\u002Fidea",[122,42,42,123,124,34],"11769989","project\u002Fneutral\u002Fexecution","Houshalter",[126,130],{"id":127,"t":128,"points":129,"comments":34},"11661879",1462817628,10,{"id":4,"t":12,"points":14,"comments":15},[132,137,142,147,152,157],{"id":133,"name":134,"points":135,"category":136},"11707120","Kajero",217,"dev_tools",{"id":138,"name":139,"points":140,"category":141},"11712751","HungryBot",202,"ai",{"id":143,"name":144,"points":145,"category":146},"11683121","Lever OS",191,"infrastructure",{"id":148,"name":149,"points":150,"category":151},"11680823","Speech Coaching App",176,"productivity",{"id":153,"name":154,"points":155,"category":156},"11697418","Sharp11",113,"creative",{"id":158,"name":159,"points":160,"category":146},"11687407","Deploy Docker Image to AWS Elastic Beanstalk",81,false,"v2",{"id":164,"name":5,"line":6,"ai":161,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":30,"top":18,"kw":165,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":166,"url":9,"mix":167,"praise":64,"objection":73,"sub":21},11696005,[24,25,26,27,28],"1005033",[32,33,34,32],1793990942803]