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 |
hashlookup:children-total | 117 |
hashlookup:trust | 50 |
The searched file hash includes 117 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-dev/examples/datasets/robot.train |
FileSize | 62299 |
MD5 | 74FAB32822C883AFEF06F0750C5ADA41 |
SHA-1 | 0788999389624C3D74FF0C27F30988C2977893C7 |
SHA-256 | 69DFE4DB80BF4EEA6BD8FFBA371E046B01EDDAB4FFE5F988A208F4A91FD2BFA4 |
SSDEEP | 384:h0kIuHreBZ7/uP2+ShLiEQiUXET4RI7cvmXnl+m8GdI6JHt:+aeBpN+GyETwvmVae |
TLSH | T116531E11628A584CEA5DAC0DFE73A53D172F70B778DA78D02E5CEF14C4E2AB4C64B852 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-doc/html/javascript/searchdata.js |
FileSize | 2696 |
MD5 | 950FA8B44640FCA89CE6861ABB1FB5E1 |
SHA-1 | 0821783F13BF9A415904515EA01566725F3E579E |
SHA-256 | 5ECB13FD6BACF7BE44C28F894A0D7D9CEDF8F58FFC079538225F2E1F84197355 |
SSDEEP | 48:IxL1tarp+hnCCTzP09RiloKtPp+hnCCTzP09Rie5xL1VrH+w9RiWRrHPR9RixsH6:27O4v7TP6 |
TLSH | T1C2519314C9680EBD55A4203D8C9DE6066AA086A75DDDBE68F85E400C7F4F73E30F6AC6 |
Key | Value |
---|---|
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 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-dev/examples/datasets/two-spiral.test |
FileSize | 4240 |
MD5 | 61B41A77379E62818D5AED0780B551E7 |
SHA-1 | 09B7835B0FA7D72770E2BD4D0144A2F7C3FA7738 |
SHA-256 | 0A5A6F338808B8CC8831016903A9A6B9C0BE41FF96CBEB72AEA40BCAA3D6591D |
SSDEEP | 96:hIrKlZmpSFOsYLZegCbskuVWVSXIJgTYMsKs:amZhFOZegCQ1sVpTMLs |
TLSH | T15F91C1E9D20D1DC07C0D68B8D83FD9D1751A2CFEE981F144226CDD1D8A12F9EFA90956 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-doc/examples/scaling.data |
FileSize | 21333 |
MD5 | 9136CE19D0A63101FF59C15D43F974F8 |
SHA-1 | 0A8D553B3BDC6D96445A9103F0BF267302290846 |
SHA-256 | 4D783B04C10BFA872C136784AC9D3AA809AD2D7DF8F6F524013F038A1A1ECA18 |
SSDEEP | 384:GEkZlhFL6ViPZFDHQ+7oJEUHMMNyPemNfESST9csQV7F30tI5V:7cLNj3UnppaV710Q |
TLSH | T13BA2C338B48E14EE8D46D51AC40928ADA316B48AFF0B9458459FCE7FBC6BE0DF5C5324 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-dev/examples/datasets/parity8.test |
FileSize | 5128 |
MD5 | F6A164C264786F70D8B1455C2B413C0E |
SHA-1 | 0CECBA5488BD98E535DCD62FFDEC51B3A57889D3 |
SHA-256 | F0DE1D85B84D1FF8EA1998CACCCD32E2ABCA99058765257F58DE8407907B1570 |
SSDEEP | 96:h7WO3LuVMzEMnrs0DGl0Wc/uAb0bypuGXrUc37cjaxGe7eV8uE/mFsXOU/mNE3OW:n |
TLSH |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-dev/html/search/FunctionsL.html |
FileSize | 1566 |
MD5 | 7032EF77D0C3FF5B640AA5199BA64C29 |
SHA-1 | 0D82680E9CBA80BF8DA0DF045F1AB1BF0E230005 |
SHA-256 | A7039A15545491D12B12929D2371789A586BFC670EDAEE8521BFBD81758E617B |
SSDEEP | 48:jKBYhh8Q0H4SjKAJKq1ROpatys+xysxX8rWxBQeI:j5hh8QrwKiKqiiy9y4X8rWxrI |
TLSH | T1C231EF7D5D5AA2AB112679E4F0B0EBAD78B5F635E907A8A044EC1404D1C1F99AC0D614 |
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 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-doc/changelog.Debian.gz |
FileSize | 2474 |
MD5 | DF0C464F44206145BFA6BEF24F62D7BD |
SHA-1 | 19C97487A6F3E52739AC727386D6DD9403AA2816 |
SHA-256 | 9F3E42B94621FC0E367270ADD372F752D2D050DCB2D3F89AF39172A6A711B472 |
SSDEEP | 48:X0UH54evok2obsHgue8oUNm+CBTaYZZ+gf6OaMzJOjb6POv75U8oviHE/:ZHOevok2jHNefgPCBuYYMz9OOpvcE/ |
TLSH | T1FE517D4C5E77827900CEB52050D4320D453E1F9A1232AFC6D892201DC1FD4B4F190DB3 |
Key | Value |
---|---|
FileName | ./usr/share/doc/libfann-dev/html/search/TypesF.html |
FileSize | 3039 |
MD5 | D98F7E110669BD90B4C7D6310651DAD7 |
SHA-1 | 1FF86A91539DAB82E1EB2FAE785296F9FE263AEC |
SHA-256 | 755C22A1481072BB58A9803A8157307C328EE9B102F4B716D880472F720C9499 |
SSDEEP | 48:jKBYhh8Q0H4SjKAJKq1lOvVYuuYxeygJh45RMh1vtGsClAn/NlCbNi81atys+xyX:j5hh8QrwKiKqm6uBexw47VHK5my9y4X4 |
TLSH | T12851BB652D2A71B712D3BEB1A0BCAB5E34B3B215EF076AA025EC0291C7C1F95A846744 |