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=5185edcdb1beebe30f1e1515036ccb7108709a15`	06/29/2018 1:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	06/29/2018 1:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=546290`	06/29/2018 1:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=546290`	06/29/2018 1:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	06/21/2018 2:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENTRYPOINT	`/usr/local/bin/nvidia_entrypoint.sh`	06/21/2018 2:55 AM UTC
sha256:c61969e85ac686a43550219ff66d2f89189156f765de202596122787ca51ffe8	COPY	`file:c53e858101bc302855ace04d510d7eeb892032b7f17a2e2027048e49184ff44d in /usr/local/bin`	06/21/2018 2:55 AM UTC
sha256:2990625eb7063460299930a48dcf2442cfdf785d70f7f06f04ab697d573e4b69	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	06/21/2018 2:55 AM UTC
sha256:49a6d3817b93dd29a296ffd5e05fb3b4958ce20fdb12269e9b1da8106616d637	COPY	`dir:6530288e96d8779740f2643a1efd1eec0836f41f0dae38eda0ddb87d0c5678f3 in docker-examples`	06/21/2018 2:55 AM UTC
sha256:7fecc83f459f86cd359265bc9d08217395da99a186d6dce3c0e7a0659bee6118	COPY	`file:50f457c4a16ee6a878a97fbb284d30d9cc1523d7adf3f65678fca53b3a774add in README.md`	06/21/2018 2:54 AM UTC