Microsoft Cognitive Toolkit

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Microsoft Research

Microsoft Cognitive Toolkit

The Microsoft Cognitive Toolkit, formerly known as CNTK, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

Layer	Label		Created
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.ref=6c4401b03c0e14ccc5ee82f78dc197c1e493395d`	05/31/2018 11:12 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	05/31/2018 11:12 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=481052`	05/31/2018 11:12 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=481052`	05/31/2018 11:12 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	05/26/2018 2:01 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENTRYPOINT	`/usr/local/bin/nvidia_entrypoint.sh`	05/26/2018 2:01 AM UTC
sha256:0b3552ac09f8bbb34ff55e88beb8d6e6d1a83edff536986813cdbcc1f88fb7b7	COPY	`file:c53e858101bc302855ace04d510d7eeb892032b7f17a2e2027048e49184ff44d in /usr/local/bin`	05/26/2018 2:01 AM UTC
sha256:d255f02d1c3af84c9c38bac13d733b3d4e452cb4fec8ae64b335648b23099729	RUN	PYVER=3.6 cp -r /opt/cntk/Examples Examples && cp -r /opt/cntk/Tutorials Tutorials && rm -r Examples/Image/Classification/AlexNet && rm -r Examples/Image/Classification/VGG && rm -r Examples/Image/Classification/GoogLeNet/BN-Inception/BrainScript && rm -r Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_ImageNet_Distributed.py && rm -r Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_ImageNet.py && sed -i '/^### BN_Inception_imageNet.py/,$d' Examples/Image/Classification/GoogLeNet/BN-Inception/Python/README.md && rm -r Examples/Image/Classification/GoogLeNet/InceptionV3 && rm -r Examples/Image/Classification/ResNet/BrainScript/ResNet18_ImageNet1K.cntk && rm -r Examples/Image/Classification/ResNet/BrainScript/ResNet34_ImageNet1K.cntk && rm -r Examples/Image/Classification/ResNet/BrainScript/ResNet50_ImageNet1K.cntk && rm -r Examples/Image/Classification/ResNet/BrainScript/ResNet101_ImageNet1K.cntk && rm -r Examples/Image/Classification/ResNet/BrainScript/ResNet152_ImageNet1K.cntk && sed -i '/^### ResNet50_ImageNet1K.cntk/,$d' Examples/Image/Classification/ResNet/BrainScript/README.md && rm -r Examples/Image/DataSets/ImageNet && rm -r Examples/Image/DataSets/Pascal && rm -r Examples/Image/Detection && rm -r Examples/Evaluation && rm -r Examples/Extensibility && rm -r Examples/PythonExamples.pyproj && rm -r Examples/Speech/Miscellaneous && rm -r Tutorials/CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.ipynb && chmod -R a+w /workspace	05/26/2018 2:01 AM UTC
sha256:28e4984556bcec2680f55cfedf3e68d97cea17ff0fbac36b4e9ee7328dc4c74f	COPY	`dir:ca7ba7654fb214a3470b3fe460995909b879b5629c21154337a7ae70bca008a1 in docker-examples`	05/26/2018 2:01 AM UTC
sha256:e2227e7cee4e6b307280289d7bb1fea0caa66250f02996061712683c986dbf3a	COPY	`file:50f457c4a16ee6a878a97fbb284d30d9cc1523d7adf3f65678fca53b3a774add in README.md`	05/26/2018 2:01 AM UTC