What's the ETA for updating the massively outdated documentation?

Please update all documents that are related building CNTK from source with latest CUDA dependencies that are indicated in CNTK.Common.props and CNTK.Cpp.props.
I tried to build from source, but it's a futile effort.

Platform (like ubuntu 16.04/win10): Windows 10
Python version: 3.7.4, mmdnn==0.2.5

Running scripts: mmconvert -f caffe -df keras -om test

I know that this command is not supposed to run without passing an input file, but the error message is incorrect and should be improved:

mmconvert: error: argument --srcFramework/-f: invalid choice: 'None' (choose from 'caffe', 'caffe2', 'cn

Describe the bug
Project settings -> tags, are not saved unless user hits 'Enter' after typing new tag.

To Reproduce
Steps to reproduce the behavior:

1. In project settings, add new tag.
2. Click 'Save Project'.
3. Exit project settings pane and return.
4. New tag is not saved.

Expected behavior
Tag should be saved when clicking 'Save Project'.

Screenshots
If a

Version

com.microsoft.ml.spark:mmlspark_2.11:jar:0.18.1
spark= 2.4.3
scala=2.11.12

data (csv with header) https://gist.github.com/ttpro1995/69051647a256af912803c9a16040f43a

download data and save as csv file, put into folder /data/public/HIGGS/higgs.test.predictioncsv

val data = spark.read.option("header","true").option("inferSchema", "true").csv("/data/public/HIGGS

Keras-rcnn was written to be compatible with a number of third-party frameworks and services like Apple’s Core ML framework that enables developers to embed Keras models into their iOS applications. We should document how an Apple developer can create, train, and export their model to their Core ML-compatible iOS application.

Maybe it has already been published somewhere else but conx seems like a good fit for JOSE or JOSS http://jose.theoj.org/papers
In any event it would be great if it were citable with a doi

First time users would need an easy way to setup flashlight, run a graph and then see the results in flashlight.

There are several places you hard coded the configurations of network architecture in the main program.

They are:

1. The input dimension of Fast-RCNN, which is coded as [4096, ]. But it should be possible to be other numbers, e.g. if i want to use ResNet ended with dimension [1000, ].
2. The spatial_scale of RoiPooling layer, which is coded as 1/16. But in my understanding, this rat

The tutorial should show how to take a trained Keras model, save it as a CNTK model using the underlying CNTK backend and then load it using this module and host it.