Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-doc/examples/python/simple_train.py |
FileSize | 596 |
MD5 | EC26D46CB47068C235AFF331E77D56B2 |
SHA-1 | 1493080821B6E7B68136E7392330FEBF22C21C88 |
SHA-256 | 0E728049CC6DC19847B1283234C1D5E8D3C71EFB6C50D4BE5E1244FA280B7CF3 |
SSDEEP | 12:HfiVzol/jouJHkDmxlIBMOJPTvkMN5i5WKGXfejUadomxvQ6exB:/h0oH3xGBMoLVN/KGXfoUixzexB |
TLSH | T11CF0787490905E20A7B7B9974299A25C483672808B4096D1A33DFE6AED901C43F27A2A |
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 |
---|---|
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 |