Result for 7F85FCD61126099BE19738AB5813A26F1B23DBA1

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize26148
MD5EC34772424267591C5E0D18B3103F787
SHA-17F85FCD61126099BE19738AB5813A26F1B23DBA1
SHA-2560F1B61829A9972349CCE5D44144B6E111D261EB117D6F1DF9F4DAD4E7A435857
SSDEEP384:qREtEnr7tv4WZRPtyggTjNltlCKgmXdj1iT8HiK8Mj376yp3xqjbGfFy3ichkX:qRxnrWcyfTRlHCKgmXdk6Zj7mnG9P
TLSHT1A2C2F9077B43DC75E4D30BF430477739E970AC36DA8BC2ABB649978882B0194B917B59
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
FileSize1612220
MD5803F122CF11682DD8A6384EEB52508C3
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-18FD83356630813B20E5111D71FF87B9616234867
SHA-256DF30A6BCFB53983917592CE64BED609AD5891CDA0A9C2185927DACEA4B5882FE