| description |
A quick look at MXNet which is a deep learning framework developed for high performance training on single or multiple machines/GPUs. It has bindings for Julia, Python and R currently and has a GPU backend capability. (more info here: https://github.com/dmlc/mxnet)
If anyone wants to do a 5 to 10 minute presentation on a Machine Learning topic that would be great as well.
[Meeting notes from September meeting](https://etherpad.mozilla.org/PDX-Machine-Learning) |
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A quick look at MXNet which is a deep learning framework developed for high performance training on single or multiple machines/GPUs. It has bindings for Julia, Python and R currently and has a GPU backend capability. (more info here: https://github.com/dmlc/mxnet)
Also we should discuss the recent release of TensorFlow by Google.
If anyone wants to do a 5 to 10 minute presentation on a Machine Learning topic that would be great as well.
[Meeting notes from September meeting](https://etherpad.mozilla.org/PDX-Machine-Learning) |