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A hardware-accelerated machine intelligence library for the web

59 pointsby obulpathialmost 8 years ago

5 comments

gradysalmost 8 years ago
Here&#x27;s the associated Google Research Blog post:<p><a href="https:&#x2F;&#x2F;research.googleblog.com&#x2F;2017&#x2F;08&#x2F;harness-power-of-machine-learning-in.html" rel="nofollow">https:&#x2F;&#x2F;research.googleblog.com&#x2F;2017&#x2F;08&#x2F;harness-power-of-mac...</a>
评论 #14993689 未加载
mncharityalmost 8 years ago
<a href="http:&#x2F;&#x2F;playground.tensorflow.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;playground.tensorflow.org&#x2F;</a> is fun and worth looking at.<p>As I recall, Google created it to give their engineers an introductory feel for DL, and then open sourced it.
mampalmost 8 years ago
It looks like this is the easiest way to train neural networks with GPU acceleration on my Radeon Pro (i.e. non CUDA)...<p>Thank you JavaScript!
xamlhackeralmost 8 years ago
&quot;Currently our demos do not support Mobile, Firefox, and Safari. Please view them on desktop Chrome for now.&quot; That&#x27;s a bummer.
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dangalmost 8 years ago
Url changed from <a href="https:&#x2F;&#x2F;github.com&#x2F;PAIR-code&#x2F;deeplearnjs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;PAIR-code&#x2F;deeplearnjs</a>, which points to this.