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Haskell binding for Menoh DNN inference library

menoh-haskell 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# menoh-haskell

[![Hackage](https://img.shields.io/hackage/v/menoh.svg)](https://hackage.haskell.org/package/menoh)
[![Hackage Deps](https://img.shields.io/hackage-deps/v/menoh.svg)](https://packdeps.haskellers.com/feed?needle=menoh)
[![Build Status (Travis CI)](https://travis-ci.org/pfnet-research/menoh-haskell.svg?branch=master)](https://travis-ci.org/pfnet-research/menoh-haskell)
[![Build Status (AppVeyor)](https://ci.appveyor.com/api/projects/status/x4yicemyr55cj6na/branch/master?svg=true)](https://ci.appveyor.com/project/pfnet-research/menoh-haskell/branch/master)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Haskell binding for [Menoh](https://github.com/pfnet-research/menoh/) DNN inference library.

# Requirements

- [Menoh](https://github.com/pfnet-research/menoh/)
- [The Haskell Tool Stack](https://www.haskellstack.org/)

# Build

Execute below commands in root directory.

```
sh retrieve_data.sh
stack build
```

# Running VGG16 example

Execute below command in root directory.

```
cd menoh
stack exec vgg16_example
```

Result is below

```
vgg16 example
fc6_out: -21.936756 -27.385506 -18.64326 16.917625 5.599732 ...
top 5 categories are:
8 0.93506306 n01514859 hen
7 0.05933844 n01514668 cock
86 0.0033869066 n01807496 partridge
82 0.0008452002 n01797886 ruffed grouse, partridge, Bonasa umbellus
97 0.0003278699 n01847000 drake
```

Please give `--help` option for details

```
stack exec vgg16_example --help
```

# Installation

```
stack install
```

# Documents

* [API reference manual](http://hackage.haskell.org/package/menoh) is available on Hackage.

* see [mnist_example.hs](app/mnist_example.hs) and [vgg16_example.hs](app/vgg16_example.hs) for example usage.

# License

Note: `retrieve_data.sh` downloads `data/VGG16.onnx`. `data/VGG16.onnx` is generated by onnx-chainer from pre-trained model which is uploaded
at http://www.robots.ox.ac.uk/%7Evgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel

That pre-trained model is released under Creative Commons Attribution License.

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