Result for 4DAB528061F06900923C4A4A53DA9DC4DE4A9C1A

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize26148
MD501E832984D7C96CFB8DB775F342B2DC3
SHA-14DAB528061F06900923C4A4A53DA9DC4DE4A9C1A
SHA-25655B4409AFFD37D57ED98D98EDA01449FDF0DD27906FFB7E5A83F3C5BDF73E150
SSDEEP384:UEVvUvEZRpggTjNltlCFbJiL4CZgiYNz+dK3xqjbGfKz/uQuS:UEVdfTRlHCFbJiUDa7nGyzx
TLSHT1BCC2D34BBB93D835E4D31BF434437339A9307C31C2C7C18BB249AA9891A56D4B416F6B
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
FileSize1615424
MD5F590E8C725B51E26E41319514C4AF15B
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+b1
SHA-1C3019382D469729BF91C193747775BCAA2C0CAF3
SHA-256FBF4735B34E120C793C0C5B742694440AC60867F01098CE13DC7483490876359