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A hardware-accelerated machine intelligence library for the web
- gradys 9y agoHere's the associated Google Research Blog post: https://research.googleblog.com/2017/08/harness-power-of-machine-learning-in.html https://research.googleblog.com/2017/08/harness-power-of-mac...
- dgacmu 9y agoTl;dr Tensorflow and numpy-like API. Differs from tensorfire in that it can also do backprop (training)
- mncharity 9y agohttp://playground.tensorflow.org/ http://playground.tensorflow.org/ is fun and worth looking at. As I recall, Google created it to give their engineers an introductory feel for DL, and then open sourced it.
- xamlhacker 9y ago"Currently our demos do not support Mobile, Firefox, and Safari. Please view them on desktop Chrome for now." That's a bummer.
- nsthorat 9y agoThis will be fixed in ~2 weeks, max.
- dang 9y agoUrl changed from https://github.com/PAIR-code/deeplearnjs https://github.com/PAIR-code/deeplearnjs, which points to this.
- mamp 9y agoIt looks like this is the easiest way to train neural networks with GPU acceleration on my Radeon Pro (i.e. non CUDA)... Thank you JavaScript!