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FileName | ./usr/share/doc/libfann-doc/advancedusage.txt.gz |
FileSize | 3314 |
MD5 | D17221D53F4C7820CA9D666D4CDC2AC6 |
SHA-1 | 084430CC1D9EA8620EAAA207A337FCCEF9E349E5 |
SHA-256 | D41EC4BEBAE40E2CAB284BA0AFFEE787AB9B2BE0B443E731770E782C61F0B9C3 |
SSDEEP | 48:XnGq84Zoiuo9Dw5Lt6G4gRpbpmbFURYwkATxJ9rscV8j8Dp43MFKrQF:tRejDt6GVbbpmbkHkq328DpOsKy |
TLSH | T167616D212DBE1C2DF948B2EBEC6140D8CF6349786EE644A681EB82F1D4A851DBD03734 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 1598400 |
MD5 | 4F502E10F71D4EA7BD28617177653FDF |
PackageDescription | API documentation for FANN Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. A Python binding is available, and bindings for PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica can be downloaded from FANN's homepage. . This package contains the API documentation in HTML form and some introductory material in text form. It also contains examples for the library and the Python wrapper. |
PackageMaintainer | Christian Kastner <debian@kvr.at> |
PackageName | libfann-doc |
PackageSection | doc |
PackageVersion | 2.1.0~beta+dfsg-1 |
SHA-1 | 5FC75D631BF52E388B4CB74A4A6BE10DAF8CA943 |
SHA-256 | BF7360833EFBB94C8112E27AC6067227E57F0C437F1475BB04AEACE832BF7A5F |
Key | Value |
---|---|
FileSize | 2102236 |
MD5 | 7874C46CD8790B973454E6D34EBD8D2B |
PackageDescription | API documentation for FANN Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. A Python binding is available, and bindings for PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica can be downloaded from FANN's homepage. . This package contains the API documentation in HTML form and some introductory material in text form. It also contains examples for the library and the Python wrapper. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libfann-doc |
PackageSection | doc |
PackageVersion | 2.1.0~beta~dfsg-8ubuntu1 |
SHA-1 | 00984B04BBC9856CC382D14A34E1E32844E1DE12 |
SHA-256 | CAA7CE2DA058B3FF8CBBA41577475F3D57502D78866CD225A99E692565A47560 |