[{"data":1,"prerenderedAt":262},["ShallowReactive",2],{"project-15582181":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":36,"aspects":37,"strip":45,"post_text":46,"what":47,"said":88,"maker_in_thread":164,"shape":175,"grid":179,"attempts":223,"same_week":224,"maker_shows":218,"maker_hidden":254,"reader_version":255,"card":256},"15582181","CNTK-World","Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit","title","Show HN: Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit","https:\u002F\u002Fgithub.com\u002Fastorfi\u002FCNTK-World\u002Fblob\u002Fmaster\u002FREADME.rst","github.com","irsina",1509320131,2017,126,19,333,2242,15,"notable","learning_science","deep learning tutorials","other",[24,25,26,27,28],"cntk","deep learning","tutorial","microsoft cognitive toolkit","jupyter notebooks","curious",-0.076,{"positive":32,"neutral":33,"mixed":34,"critical":35},2,5,0,3,10,{"execution":38,"design":40,"pricing":41,"docs":42,"performance":43,"idea":44},{"positive":39,"critical":39},1,{"positive":34,"critical":39},{"positive":34,"critical":34},{"positive":39,"critical":34},{"positive":34,"critical":34},{"positive":34,"critical":39},[33,34,34,34,34,39,35,35,39,34,33,34,35,35,34,35,34,39,34],null,{"problem":48,"audience":56,"pricing":46,"motivation":46,"time_to_build":46,"stack":65,"openness":86,"stage":87,"team_size":87},{"value":49,"source":50,"evidence":51},"Hard to find easy-to-use CNTK code examples and tutorials","commenter",[52],{"id":53,"by":54,"text":55},"15584154","averagewall","Not warranted. From the article: \"CNTK is new and it's hard to find easy-to-use code examples and tutorials for learning by doing!\"",{"value":57,"source":58,"evidence":59},"Developers learning deep learning with CNTK","inferred",[60,61],{"id":53,"by":54,"text":55},{"id":62,"by":63,"text":64},"15584194","king_magic","I’ve been doing a lot of work with CNTK lately (and for the most part I quite like it compared to TensorFlow), but there are two things in particular that need to be addressed…",[66,72,79],{"value":67,"source":68,"evidence":69},"CNTK","maker",[70],{"id":71},"post",{"value":73,"source":50,"evidence":74},"Python",[75],{"id":76,"by":77,"text":78},"15584299","mastry","That installation tutorial is a far, far cry from installing Anaconda then running \"conda install tensorflow-gpu\". Microsoft has a simpler python-only installation process [1],…",{"value":80,"source":50,"evidence":81},"Jupyter notebooks",[82],{"id":83,"by":84,"text":85},"15582567","smortaz","From a sister group at msft: you can load & run the notebooks using https:\u002F\u002Fnotebooks.azure.com. When you create a Library, select +New from GitHub and enter the above path. It’s…","open_source","unknown",{"praise":89,"objections":98,"requests":118,"questions":145,"alternatives":153},[90,94],{"value":91,"source":50,"evidence":92},"Useful documentation for a hard-to-find framework",[93],{"id":62,"by":63,"text":64},{"value":95,"source":50,"evidence":96},"Notebooks runnable on Azure Notebooks",[97],{"id":83,"by":84,"text":85},[99,107,111],{"value":100,"source":50,"evidence":101},"Installation is difficult and error-prone",[102,103],{"id":76,"by":77,"text":78},{"id":104,"by":105,"text":106},"15583972","cabalamat","On the install page https:\u002F\u002Fgithub.com\u002Fastorfi\u002FCNTK-World\u002Ftree\u002Fmaster\u002Fdocs\u002Ftutorials\u002Finstallation it would be nice if it says which version(s) of Ubuntu are supported.",{"value":108,"source":50,"evidence":109},"No batch normalization on CPU and no macOS support in CNTK",[110],{"id":62,"by":63,"text":64},{"value":112,"source":50,"evidence":113},"Tile layout breaks on mobile screens",[114],{"id":115,"by":116,"text":117},"15583037","yodon","Very cool! Though you might want to encourage whomever manages that page to open it on their phone. There is something wrong with the column width calculation which makes the…",[119,127,131,138],{"value":120,"source":50,"evidence":121},"GPU support on Azure Notebooks",[122,123],{"id":83,"by":84,"text":85},{"id":124,"by":125,"text":126},"15583070","make3","..they should offer for the user to pay for gpu access..",{"value":128,"source":50,"evidence":129},"Document supported Ubuntu versions in install guide",[130],{"id":104,"by":105,"text":106},{"value":132,"source":50,"evidence":133},"Report training time and cost in tutorials",[134],{"id":135,"by":136,"text":137},"15582666","garysieling","If you have this information, one thing that would be really helpful with this type of tutorial is to know how long it took to train the models when you tested them last (and…",{"value":139,"source":50,"evidence":140},"Spark support in notebooks",[141],{"id":142,"by":143,"text":144},"15582707","curiousDog","Do you have Spark support? I'd love a managed Spark notebook that runs on Azure which wouldn't require any setup\u002Fmanageability on my end.",[146],{"value":147,"source":50,"evidence":148},"How does BrainScript compare to the Python API?",[149],{"id":150,"by":151,"text":152},"15583364","wodenokoto","After looking at brainscript I'm more and more drawn to the idea of building the network outside the data wrangling environment. Do you have any experience with brainscript and…",[154,158],{"value":155,"source":50,"evidence":156},"TensorFlow",[157],{"id":62,"by":63,"text":64},{"value":159,"source":50,"evidence":160},"Databricks",[161],{"id":162,"by":143,"text":163},"15583404","Ah thanks, I've tried HDinsight in the past and it's a bit of a pain to set up and maintain. Also, I had to pay for the cluster reservation. I was hoping for a more pay as you go…",{"comments":35,"answered":39,"key":165},[166,169,172],{"id":167,"text":168},"15588469","Thanks for the kind words and directions.",{"id":170,"text":171},"15588463","Thank you so much for your attention.",{"id":173,"text":174},"15588460","It looks really simple but I do not have any experience on that.",{"commenters":176,"max_depth":33,"maker_replies":35,"first_comment_mins":177,"lifespan_hours":178},13,114,21,[180,182,184,186,187,189,191,194,196,198,202,204,206,209,211,212,214,216,221],[83,34,33,181,84,34],"project\u002Fpositive\u002Fexecution",[142,34,34,183,143,34],"commenter\u002Fneutral\u002Fnone",[185,34,34,183,84,34],"15582787",[162,34,34,183,143,34],[188,34,34,183,84,34],"15583455",[115,34,39,190,116,34],"project\u002Fcritical\u002Fdesign",[192,34,35,193,84,34],"15583458","project\u002Fneutral\u002Fdesign",[124,34,35,195,125,34],"project\u002Fneutral\u002Fpricing",[76,39,39,197,77,34],"project\u002Fcritical\u002Fexecution",[199,32,34,200,201,34],"15582554","other\u002Fneutral\u002Fnone","malux85",[62,35,33,203,63,34],"project\u002Fpositive\u002Fdocs",[167,35,34,205,11,39],"maker\u002Fpositive\u002Fnone",[135,207,35,208,136,34],4,"project\u002Fneutral\u002Fperformance",[104,33,35,210,105,34],"project\u002Fneutral\u002Fdocs",[170,33,34,205,11,39],[150,213,35,193,151,34],6,[173,213,34,215,11,39],"maker\u002Fneutral\u002Fnone",[217,218,39,219,220,34],"15583025",7,"project\u002Fcritical\u002Fidea","meow_mix",[53,218,34,222,54,34],"commenter\u002Fneutral\u002Fidea",[],[225,230,235,240,244,249],{"id":226,"name":227,"points":228,"category":229},"15594004","Frappe Charts",474,"dev_tools",{"id":231,"name":232,"points":233,"category":234},"15596304","Airborn",469,"productivity",{"id":236,"name":237,"points":238,"category":239},"15601027","\u002Fusr\u002Fbin\u002Fhtop",219,"infrastructure",{"id":241,"name":242,"points":243,"category":234},"15558057","Baby Buddy",172,{"id":245,"name":246,"points":247,"category":248},"15589742","Minimalchat",163,"web_saas",{"id":250,"name":251,"points":252,"category":253},"15582714","Vehicle Detection",153,"ai",false,"v2",{"id":257,"name":5,"line":6,"ai":254,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":258,"top":18,"kw":259,"maker":11,"domain":10,"tier":19,"attempts":34,"strip":260,"url":9,"mix":261,"praise":91,"objection":100,"sub":21},15582181,-0.08,[24,25,26,27,28],"5000013310503303010",[32,33,34,35],1794036560329]