Result for 367F9FC5FBB08A992B2BE2E2583CC40A72990AF0

Query result

Key Value
FileName./usr/bin/convert_mnist_data
FileSize26160
MD57F9D2C7186360ECADC2C5750EF5F92EA
SHA-1367F9FC5FBB08A992B2BE2E2583CC40A72990AF0
SHA-256528033B35D89C4C5E60D4442A820091DF649ED78CB2527A579D16D054D067618
SSDEEP384:oEVvUvEZRpggTjNltlCFbJiL4CZgiYNz+da3xqjbGfKz/uQuUy:oEVdfTRlHCFbJiUDarnGyzxb
TLSHT134C2D35BBB93D835E4D31BF434437339A9307C31C2C7C28BB249AA9891A56D4B416F6B
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
FileSize1595160
MD5AB6EC6A35BABA6D5D8EE300A9B92D540
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-tools-cpu
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-5+b5
SHA-1932FF72FE8DCD4FC83FAFD482D1D2A0F34436906
SHA-256AE030D81BC65C1C81B5E9E5126648E30E63343709F0319E8328122FA376EFD84