Key | Value |
---|---|
CRC32 | ADBD0C2A |
FileName | SpatialUpSamplingBilinear.lua |
FileSize | 4384 |
MD5 | 438563C6ACAD2338F59CBD028661E3E0 |
OpSystemCode | {'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'} |
ProductCode | {'ApplicationType': 'Health & Fitness', 'Language': 'Unknown', 'MfgCode': '85621', 'OpSystemCode': '817', 'ProductCode': '210257', 'ProductName': 'Sleep Cycle: Sleep analysis & Smart alarm clock', 'ProductVersion': '3.3.0.3575-rel.'} |
RDS:package_id | 210257 |
SHA-1 | 02BE88DF2275F80209F276CEE9E825A6AECE37EE |
SHA-256 | 5424EBD1BF70F6F0C85ECE00111C77C6C1E61D9B175392DAA3E0BEF29045805B |
SSDEEP | 48:NAJw5YMkWN6jy3onV/Kbflz2Q8b5z519lKpoEp6pyJJBX7Xk/PX2XJ75Kej7fLnI:NuwstVSbZ2xnGeKFzrtYZP8FlZPU |
SpecialCode | |
TLSH | T12591AE276B25C574825F8FBAE5E7684FB94A40321A6B1911B0BD0C102F1A1F86B71FFD |
db | nsrl_android |
insert-timestamp | 1648996112.7994678 |
source | RDS_2022.03.1_android.db |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
FileSize | 429016 |
MD5 | 7ABC85C2F999D67D2216968FADE716E7 |
PackageDescription | Neural Network Package for Torch Framework This package provides an easy and modular way to build and train simple or complex neural networks using Torch Framework: . * Modules are the bricks used to build neural networks. Each are themselves neural networks, but can be combined with other networks using containers to create complex neural networks: . + Module: abstract class inherited by all modules. + Containers: container classes. + Transfer functions: non-linear functions. + Simple layers: simple network layer like `Linear`. + Table layers: layers for manipulating `table`s. + Convolution layers: several kinds of convolutions. . * Criterions compute a gradient according to a given loss function given an input and a target: . + Criterions: a list of all criterions. + `MSECriterion`: the Mean Squared Error criterion used for regression; + `ClassNLLCriterion`: the Negative Log Likelihood criterion used for classification. . * Additional documentation: . + Overview of the package essentials including modules, containers and training. + Training: how to train a neural network using optim. + Testing: how to test your modules. + Experimental Modules: a package containing experimental modules and criteria. . This package is a core part of the Torch Framework. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | lua-torch-nn |
PackageSection | interpreters |
PackageVersion | 0~20171002-g8726825+dfsg-4 |
SHA-1 | 25E605E23EE82554F485491EC3A814845BF18E2F |
SHA-256 | D22F4C12746CA1AF8975A053AB4D326B3A71F8AED37AEBB9C51DA728DD80D2B7 |