| 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 |
| hashlookup:children-total | 118 |
| hashlookup:trust | 50 |
The searched file hash includes 118 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-doc/html/files/fann_error-h.html |
| FileSize | 23513 |
| MD5 | 3FED66CCC30A2D8F433E371CB4CE0F9D |
| SHA-1 | 01AC92121D068151491B7B910CB47BB9FA599B7E |
| SHA-256 | 6EE7F91DFFF3BB6375A2E0AC7DD60E1290F6E98C998496E97B2556E4ECA2F794 |
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| TLSH | T100B2222825C472B3009361B6E0277EAEB4DA9175D37134D889FC88E7936BEEDD86510F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-dev/examples/datasets/robot.train |
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| SSDEEP | 384:h0kIuHreBZ7/uP2+ShLiEQiUXET4RI7cvmXnl+m8GdI6JHt:+aeBpN+GyETwvmVae |
| TLSH | T116531E11628A584CEA5DAC0DFE73A53D172F70B778DA78D02E5CEF14C4E2AB4C64B852 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-doc/advancedusage.txt.gz |
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| SHA-256 | D41EC4BEBAE40E2CAB284BA0AFFEE787AB9B2BE0B443E731770E782C61F0B9C3 |
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| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-dev/examples/datasets/two-spiral.test |
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| SSDEEP | 96:hIrKlZmpSFOsYLZegCbskuVWVSXIJgTYMsKs:amZhFOZegCQ1sVpTMLs |
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| Key | Value |
|---|---|
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| TLSH | T13BA2C338B48E14EE8D46D51AC40928ADA316B48AFF0B9458459FCE7FBC6BE0DF5C5324 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-dev/examples/datasets/parity8.test |
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| TLSH |
| Key | Value |
|---|---|
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| TLSH | T1C231EF7D5D5AA2AB112679E4F0B0EBAD78B5F635E907A8A044EC1404D1C1F99AC0D614 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-doc/html/index/Functions.html |
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| SSDEEP | 768:+F4cHhR0C7RYCXZORuhGUUE0lUL/SGccqhgSeIbkmj:+PHDv9YCXQuhGOrUxhgfk |
| TLSH | T141048C2821C4657204A364AAE5177EFEB8DD90B0F3B136D989E98C93536BEFD507420F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-doc/examples/python/simple_train.py |
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| SHA-256 | 0E728049CC6DC19847B1283234C1D5E8D3C71EFB6C50D4BE5E1244FA280B7CF3 |
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| TLSH | T11CF0787490905E20A7B7B9974299A25C483672808B4096D1A33DFE6AED901C43F27A2A |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libfann-dev/html/search/TypesF.html |
| FileSize | 3039 |
| MD5 | D98F7E110669BD90B4C7D6310651DAD7 |
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| SHA-256 | 755C22A1481072BB58A9803A8157307C328EE9B102F4B716D880472F720C9499 |
| SSDEEP | 48:jKBYhh8Q0H4SjKAJKq1lOvVYuuYxeygJh45RMh1vtGsClAn/NlCbNi81atys+xyX:j5hh8QrwKiKqm6uBexw47VHK5my9y4X4 |
| TLSH | T12851BB652D2A71B712D3BEB1A0BCAB5E34B3B215EF076AA025EC0291C7C1F95A846744 |