Are there any plans to provide a GUI for TensorFlow?
It would be easier to use if there were basic features like file handling such as open, closing and parsing files.
Nvidia has released DIGITS based on Caffe. Could this be built around TensorFlow also?
I think the Visual Degugger is a nice idea also. It was a thesis project. I think Google could make an agreement to incorporate it into TensorFlow
http://devblogs.nvidia.com/parallelforall/digits-deep-learning-gpu-training-system/"DIGITS provides a user-friendly interface for training and
classification that can be used to train DNNs with a few clicks. It runs
as a web application accessed through a web browser. Figure 1 shows the
typical user work flow in DIGITS. The first screen is the main console
window, from which you can create databases from images and prepare them
for training. Once you have a database, you can configure your network
model and begin training."
...
" I like that DIGITS displays all of my previously created datasets in
the Main Console, and also in the network window, making it easy to
select the one I want to use in each training exercise. It’s also easy
to modify my networks, either by downloading a network file from a
previous training run and pasting the modified version into the custom
network box, or by loading one of my previous networks and customizing
it."
...
"DIGITS is great for sharing data and results. I live in LA and work with
a team in Texas and the Washington DC area. We run DIGITS on an
internal server that everyone can access. This allows us to quickly
check and track the iterations on our network configurations and see how
changes affect network performance. Anyone with access can also
configure their own network in DIGITS and perform CNN training on this
host. Their activities display in the main console too."
https://groups.google.com/a/tensorflow.org/forum/#!searchin/discuss/debugger/discuss/vFSKuaAF4BI/a3BArY7WFgAJ