2019年4月24日 · For inference, you can continue to use CNTK C/C++/Python/C#/Java APIs, or you may export CNTK models in ONNX format, and use ONNX Runtime or ORT as a slimmer and faster inference engine. You'll be surprised to find how much faster it is comparing to CNTK, and how slimmer the setup is (forget about OpenMPI when you just need inference!).

2018年11月15日 · Type pip install cntk in that terminal. Then start your jupyter notebook from the same. If in case you are using anaconda environments. Start the terminal of that virtual environment, your prompt should now say (yourenv)username: then install by running the same pip install cntk or if it's available in conda distributions use conda install cntk.

2018年12月21日 · cntk currently provides wheels for Python 2.7, 3.5 and 3.6, Linux 64 bit and w64. There is no source code ...

CNTK, best product Microsoft have Open Sourced, but lots of Bugs and Zero Support, sadly! I reluctantly

2018年6月29日 · I've been attempting to re-write a simple classifier with CNTK. But all the examples I've come across use the built-in Reader with input map and my data needs to be heavily modified once read so I haven't been able to use what most of the examples demonstrate as the data loading method.

2017年4月19日 · I have a cntk model which takes in features related to clicks and other information and predicts if something would be clicked in the future. Using the same features in a randomforest works fine, however, cntk classifies all 1. Why does this happen? Is there any parameter tuning needed? The features have varying scale. My train action looks ...

2017年4月16日 · I was previously using the NuGet package Microsoft.Research.CNTK.CpuEval-mkl to evaluate some models, until I ran into problems with CPU speed. At that point I switched over to the CNTK.GPU library. Unfortunately, I noticed a marked decrease in the efficacy of my models, so I suspect that I did something wrong.

2017年1月26日 · Pooling only works with static axes. There is a branch with a sequence.pooling operation that should be available in master around the end of January (2017).

CNTK tutorial:"Hands-On Lab: Image recognition with Convolutional Networks, Batch Normalization, and Residual Nets" python problems 4 RuntimeError: CUDNN_STATUS_INTERNAL_ERROR

2017年1月12日 · We have trained a model using CNTK. We are building a service that is going to load this model and respond to requests to classify sentences. What is the best API to use regarding performance? We ...