[{"data":1,"prerenderedAt":185},["ShallowReactive",2],{"project-10734724":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":31,"aspects":33,"strip":39,"post_text":40,"what":41,"said":83,"maker_in_thread":120,"shape":125,"grid":128,"attempts":142,"same_week":148,"maker_shows":35,"maker_hidden":178,"reader_version":179,"card":180},"10734724","TDB","A Visual Debugger for TensorFlow","title","Show HN: TDB: A Visual Debugger for TensorFlow","https:\u002F\u002Fgithub.com\u002Fericjang\u002Ftdb","github.com","ericjang",1450135010,2015,144,7,147,2565,6,"notable","dev_tools","debugger","library",[24,25,26,27],"tensorflow","visual debugger","deep learning","jupyter","loved",0.6,{"positive":31,"neutral":32,"mixed":32,"critical":32},5,0,{"docs":34,"idea":36,"design":38},{"positive":35,"critical":32},1,{"positive":37,"critical":32},3,{"positive":35,"critical":32},[32,31,31,31,31,31,32],null,{"problem":42,"audience":54,"pricing":40,"motivation":40,"time_to_build":40,"stack":61,"openness":82,"stage":82,"team_size":82},{"value":43,"source":44,"evidence":45},"Understanding what happens inside TensorFlow neural networks during training","commenter",[46,50],{"id":47,"by":48,"text":49},"10735985","lazyjeff","This is hopefully a first step towards more understandable deep learning networks. Great job!",{"id":51,"by":52,"text":53},"10737569","TheAlchemist","This looks great. I'm doing something similar, albeit not real time when learning about DNN right now and it helps hugely to understand what's going on. Will definitely try it in…",{"value":55,"source":44,"evidence":56},"Deep learning researchers and people learning neural networks",[57,58],{"id":51,"by":52,"text":53},{"id":59,"by":11,"text":60},"10735246","Thanks to the HN mods for letting me repost this. I'm very keen on hearing your thoughts on this tool and how I could make it better (especially if you do research in DNNs). I'll…",[62,68,74,78],{"value":63,"source":64,"evidence":65},"TensorFlow","maker",[66],{"id":67},"post",{"value":69,"source":64,"evidence":70},"React",[71],{"id":72,"by":11,"text":73},"10737412","I use jquery to inject an entry div, then load React from there. I looked into ipywidgets, but it looks like that can only render one widget per cell. Jupyter Comm channels are…",{"value":75,"source":64,"evidence":76},"jQuery",[77],{"id":72,"by":11,"text":73},{"value":79,"source":64,"evidence":80},"Jupyter",[81],{"id":72,"by":11,"text":73},"unknown",{"praise":84,"objections":108,"requests":109,"questions":114,"alternatives":119},[85,94,101],{"value":86,"source":44,"evidence":87},"Useful for understanding neural networks",[88,89,90],{"id":47,"by":48,"text":49},{"id":51,"by":52,"text":53},{"id":91,"by":92,"text":93},"10736430","BinaryIdiot","Whoa that's pretty cool! I've been meaning to check out TensorFlow and this may help me better understand how it works. Thanks!",{"value":95,"source":44,"evidence":96},"Video demo made it approachable",[97],{"id":98,"by":99,"text":100},"10735597","sharms","Looks very useful -- I thought the video demo showing the example visualizations was very helpful in understanding what it does, and made it more approachable. 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