[ 原始碼: libfann ]
套件:libfann2(2.2.0+ds-8 以及其他的)
Fast Artificial Neural Network Library
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.
This package contains the shared libraries.
其他與 libfann2 有關的套件
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- dep: libc6 (>= 2.27) [riscv64]
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
- dep: libc6 (>= 2.29) [除 alpha, ia64, riscv64, sh4]
- dep: libc6 (>= 2.36) [sh4]
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- dep: libc6.1 (>= 2.29) [alpha]
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6.1-udeb
- dep: libc6.1 (>= 2.36) [ia64]
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- sug: libfann-dev (= 2.2.0+ds-8) [除 riscv64]
- Development libraries and header files for FANN
- sug: libfann-dev (= 2.2.0+ds-8+b1) [riscv64]
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- sug: libfann-doc (= 2.2.0+ds-8) [除 riscv64]
- API documentation for FANN
- sug: libfann-doc (= 2.2.0+ds-8+b1) [riscv64]
下載 libfann2
硬體架構 | 版本 | 套件大小 | 安裝後大小 | 檔案 |
---|---|---|---|---|
alpha (非官方移植版) | 2.2.0+ds-8 | 72。8 kB | 581。0 kB | [檔案列表] |
amd64 | 2.2.0+ds-8 | 60。2 kB | 389。0 kB | [檔案列表] |
arm64 | 2.2.0+ds-8 | 56。8 kB | 517。0 kB | [檔案列表] |
armel | 2.2.0+ds-8 | 61。9 kB | 513。0 kB | [檔案列表] |
armhf | 2.2.0+ds-8 | 52。3 kB | 321。0 kB | [檔案列表] |
hppa (非官方移植版) | 2.2.0+ds-8 | 72。2 kB | 427。0 kB | [檔案列表] |
i386 | 2.2.0+ds-8 | 61。0 kB | 397。0 kB | [檔案列表] |
ia64 (非官方移植版) | 2.2.0+ds-8 | 88。1 kB | 720。0 kB | [檔案列表] |
m68k (非官方移植版) | 2.2.0+ds-8 | 52。3 kB | 329。0 kB | [檔案列表] |
mips64el | 2.2.0+ds-8 | 53。8 kB | 543。0 kB | [檔案列表] |
ppc64 (非官方移植版) | 2.2.0+ds-8 | 69。9 kB | 581。0 kB | [檔案列表] |
ppc64el | 2.2.0+ds-8 | 65。8 kB | 517。0 kB | [檔案列表] |
riscv64 | 2.2.0+ds-8+b1 | 71。4 kB | 366。0 kB | [檔案列表] |
s390x | 2.2.0+ds-8 | 57。0 kB | 389。0 kB | [檔案列表] |
sh4 (非官方移植版) | 2.2.0+ds-8 | 74。3 kB | 513。0 kB | [檔案列表] |
sparc64 (非官方移植版) | 2.2.0+ds-8 | 61。1 kB | 4,176。0 kB | [檔案列表] |
x32 (非官方移植版) | 2.2.0+ds-8 | 59。4 kB | 369。0 kB | [檔案列表] |