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Haskell binding for Menoh DNN inference library

License: MIT License

Haskell 22.77% Shell 0.68% Jupyter Notebook 76.55%
haskell neural-network mkl-dnn deep-learning

menoh-haskell's Introduction

menoh-haskell

Hackage Hackage Deps Build Status (Travis CI) Build Status (AppVeyor) License: MIT

Haskell binding for Menoh DNN inference library.

Requirements

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

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.

menoh-haskell's People

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