Result for 5CEC8466833D3804BBE650C2C0F359A3C6BD1C53

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize26148
MD5F88C442D69DF7FF455EAFCEC71C0E0E5
SHA-15CEC8466833D3804BBE650C2C0F359A3C6BD1C53
SHA-25658662C958D10436AA5B3F90E0381BE4C79216EE3342E75C3550A3FC691C6ABA0
SSDEEP768:Pw6IjrWL2OfTRlHCTVfs6vsS1oSwmbnG+Wz1B:YPyL2Otu7vsSWSwmrs1
TLSHT1C3C2E7077B43DC75E4D30BF031437335E970AC32DA8BC1ABB649979892B1194B91BB5A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1645360
MD590EE77B357FEE8D0CBB34276484807A8
PackageDescriptionTools for fast, open framework for Deep Learning (CPU_ONLY) Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley AI Research Lab (BAIR) and community contributors. . It contains caffe executables, configured as CPU_ONLY. . Issue this command at the root of caffe source tree for a unit test: $ caffe-gtest --gtest_shuffle --gtest_filter="-*GPU*"
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamecaffe
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-8+b2
SHA-108075917C3DBF8A2286BC43BB8AA564794965DBE
SHA-2568CF34C6C5C2D46E4651EE52AFE0A893B1430607E231255DCF5CD098BEB1134E0