Hi Hagay,
Good point. The high level problem is:
I want to run mxnet training on GPU, and inference on CPU --
browsers / javascript in particular.
On the training side, I'm dealing mostly with NDArray / doing my own
gradient calculations / optimization. I would like some library for
the
TongKe,
What’s the use case you are after?
Answering this question may help us help you (
Hagay
On 11/2/17, 12:10, "TongKe Xue" wrote:
Hi,
I'm looking for a js library compatible with mxnet/ndarray.
1. I am aware of https://github.com/dmlc/mxnet.js/
If I'm understanding mxnet.js correctly, any mxnet model can be
converted to mxnet.js via:
https://github.com/dmlc/mxnet.js/blob/master/tools/model2json.py
and then executed on mxnet.js
Questions: is this 'mxnet json model' format documented anywhere?
On Thu, Nov 2, 2017 at 12:10 PM, TongKe