Thanks Deron. Let's move forward with this. Several of us are interested in
initiating research in this area, so I'll reach out.
...
Jeremy Anderson
Github: https://github.com/objectadjective
Twitter: https://twitter.com/ObjectAdjective
LinkedIn:
Hi Jeremy,
I think moving forward with visualization and design is a great idea,
especially since I feel there is currently momentum after the great design
refactoring of the project website. Mike and Jeremy, please let me know if
there's any way in which I can help.
Deron
On Fri, Oct 28, 2016
>
> Visualization is a good topic to bring up for the project. I would like to
> add another possible option of using TensorBoard directly. I have not
> looked into the file format used for TensorBoard, but it may be possible to
> simple adopt that format, and simply write our stats to that type
Visualization is a good topic to bring up for the project. I would like to add
another possible option of using TensorBoard directly. I have not looked into
the file format used for TensorBoard, but it may be possible to simple adopt
that format, and simply write our stats to that type of file.
Hi Matthias,
Thanks for your feedback.
There is a tradeoff between keeping a feature in-house until it is stable, v/s
continually getting community feedback as the work is getting done via PR and
discussions. I am for the latter as it encourages community feedback as well as
participation.
I
Thanks for putting this together Niketan. However, could we please
postpone this discussion after our 1.0 release? Right now, I'm concerned
to see that we're adding many experimental features without really
getting them done. This includes for example, the GPU backend, the new
MLContext API,
Hi all,
To give every context, I am working on a new deep learning API for SystemML
that is backed by the NN library (
https://github.com/apache/incubator-systemml/tree/master/scripts/staging/SystemML-NN/nn
). This API allows the users to express their model using Caffe
specification and
