convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

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Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

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Observed mentions: 2014-05-09 23:10:19 UTC to 2019-02-21 14:08:24 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
2014	2014-01-01 00:00:00 UTC	2015-01-01 00:00:00 UTC	5	1	4
2015	2015-01-01 00:00:00 UTC	2016-01-01 00:00:00 UTC	2	0	2
2016	2016-01-01 00:00:00 UTC	2017-01-01 00:00:00 UTC	2	0	2
2017	2017-01-01 00:00:00 UTC	2018-01-01 00:00:00 UTC	0	0	0
2018	2018-01-01 00:00:00 UTC	2019-01-01 00:00:00 UTC	0	0	0
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	1	0	1

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The current frameworks are deeply (ha!) unsuitable for any serious work, by which I mean anything where a neural network would approach outperform other methods. However there is some possibility that technologies like WebCL and replacements will overcome this limitation by allowing access to GPU resources. Further reading: [1][2][3] [1] https://github.com/waylonflinn/weblas [2] https://github.com/karpathy/convnetjs/issues/13 [3] https://github.com/mikeseven/node-webcl [4] https://github.com/stormcolor/webclgl

Question: can js call out to native libraries as well ? I'm wondering why BLAS/LAPACK is not callable from JS. there are all these questions about how to use LAPACK from js.. and none seem to work right. [1] http://stackoverflow.com/questions/21990243/use-emscripten-w... [2] https://github.com/software-engineering-amsterdam/MLitB/issu... [3] https://github.com/karpathy/convnetjs