Key | Value |
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FileName | ./usr/share/doc/libfann-doc/html/files/fann_error-h.html |
FileSize | 23513 |
MD5 | 3FED66CCC30A2D8F433E371CB4CE0F9D |
SHA-1 | 01AC92121D068151491B7B910CB47BB9FA599B7E |
SHA-256 | 6EE7F91DFFF3BB6375A2E0AC7DD60E1290F6E98C998496E97B2556E4ECA2F794 |
SSDEEP | 192:jvaSiGsru+zZWTVeZ1KbbSii4Br0ZsCBfUyk+mPBvxnVTR9hRKEoY+KozI1rI:jpOsTLVeZ3mpvxj9KmBO |
TLSH | T100B2222825C472B3009361B6E0277EAEB4DA9175D37134D889FC88E7936BEEDD86510F |
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 |
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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 |