i like netron:https://github.com/lutzroeder/netron …
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There are many examples here, of various feasibilities for integration into keras. https://datascience.stackexchange.com/questions/12851/how-do-you-visualize-neural-network-architectures … Hard to pick a favorite. I personally like the simplicity of NN-SVG when making visualizations ....BUT
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I've always wanted a simple visualizer that could better show skip layers or branching paths (like in GoogleLenet). I would also especially enjoy a visualizer that could better handle things besides 2d convnets.
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Netron is good but it can also be refined further
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I don't know if something better exists (and I'd love it) but we've survived with Google Drawings... Someone at Google taught me draw.io before, but it's too complicated and not worth it.
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Just adding post by
@pmigdal to discussionhttps://p.migdal.pl/2018/09/15/simple-diagrams-deep-learning.html …Thanks. Twitter will use this to make your timeline better. UndoUndo
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You can have a look at ipycytoscape. It's not specifically targeted at NN but we could add features for it.https://github.com/Quantstack/ipycytoscape …
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So far I find PowerPoint is my favorite.
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By hand in Google Drawings
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Have you looked at fastdot? It's a simple wrapper built on top graphviz.
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