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README.txt
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README.txt
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# Orthogonal_RNN
# Mhammedi, Zakaria, et al. "Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections." arXiv preprint arXiv:1612.00188 (2016).
# Usage #
oRNN
============
Requirements
------------
- Python 3
- Theano 0.9.0
Installation
------------
- Copy the folder "oRNN/" to your local machine::
cp -r oRNN/ DESTINATION_FOLDER
- Install C_fun.c (C-implementation of the forward and backward propagation)::
cd oRNN/
rm C_fun.cpython-35m-darwin.so
python setup.py build_ext --inplace
- Install mnist::
cd ./data/MNIST/python-mnist/
python setup.py install
Usage
-----
- Edit the file "loop_jobs.sh" to set the name of the output file and hyperparameters
- Run a job::
./loop_job.sh
- Stopping a job:
ps -l # Displays the job list
kill JOBID # JOBID selected from the job list