Result for 2F15C2358CEFFBE449DCD1C19FB7FD294BC803D6

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize18008
MD5C7EF2E2DF850CC0EB905AF736D96B51D
SHA-12F15C2358CEFFBE449DCD1C19FB7FD294BC803D6
SHA-256D75DFF495E0E3A2F37C85B97F79536D2074868A14E99167439DC10E8D7CA8BAA
SSDEEP384:10y/1zjezr73v4WgRHevoPhavZ/13nWf7qjPt2Q:1h/Bjqr0PlpavJ1WeLA
TLSHT1CA82A8CF69C7CE7BCCC23BF831771A1A9661CD98D9EA4B62554C480406E15899F2AF88
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
FileSize1401296
MD54400BB422DBA327EAAED850ABFEFF1B4
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+git20180821.99bd997-7+b2
SHA-14E2792CD4C968F2CD4EFA816515306026EBD9D3D
SHA-256EFBDAD129F286FC72AA5762191CFDDA7470857AEC4F210766277433024ED00AE