Result for 2C3B855214887D44C241E2B2A0312AD0918251D0

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize30960
MD5299FD2844C94C43406608873B908B59A
SHA-12C3B855214887D44C241E2B2A0312AD0918251D0
SHA-2564E0BCA5493C5CBD0BA5DC58E99E7A15219B6E13336571CFFCCAAB5E2D9B80933
SSDEEP384:cv/+rtv4Ijkdxwle6QRryLk1Gy8PT70GXQXeV/nZLBA3RqjbGfSvmn+nF:cn+GyXyryP9sXeNZLXnGMbF
TLSHT1CCD2D547BAD2CEBDC4D0CBB469CB5236DA70BC06CA32925EB744A3250F51B90971BB94
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize1623612
MD507D8F682A54C5CD4D7A329907D93275F
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-1043FDEDD2C4E20A6E638DC77C0DE58CA6965BF29
SHA-256670F8B30A5A6630897B2A21B381A6245D739320FB1BCEF4C789910F82F03116A