https://github.com/Microsoft/CNTK
History
Tip revision: ae163b33a85d3e07ae7c6b519f2c6d1409cf2263 authored by liqfu on 14 August 2018, 18:17:36 UTC
ONNX support for CNTK Sequence::Slice op. Due to a specific feature of CNTK Sequence::Slice op to handle zigged inputs (batch of variable length sequences), models converted from CNTK may not produce marching outcomes with zigged inputs.
Tip revision: ae163b3
File Mode Size
CifarConverter.py -rw-r--r-- 3.1 KB
ImageHandsOn.cntk -rw-r--r-- 3.2 KB
ImageHandsOn_Solution1.cntk -rw-r--r-- 3.3 KB
ImageHandsOn_Solution2.cntk -rw-r--r-- 3.1 KB
ImageHandsOn_Solution3.cntk -rw-r--r-- 3.4 KB
ImageHandsOn_Solution4.cntk -rw-r--r-- 4.0 KB
ImageHandsOn_Solution5.cntk -rw-r--r-- 4.1 KB
ImageHandsOn_Task4_Start.cntk -rw-r--r-- 3.9 KB
ImageHandsOn_Task6.cntk -rw-r--r-- 4.6 KB
README.md -rw-r--r-- 491 bytes
cifar10.ResNet.cmf -rw-r--r-- 1.1 MB
cifar10.pretrained.cmf -rw-r--r-- 462.1 KB

README.md

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