Deep Learning 2015 Spring A2 M&M: Mehmet Ugurbil, Mark Liu
centroid_finder -> centroids.data, feature_means.data, whitening_matrix.data extract_features -> train_features.data supervised_learning -> model.data classify -> ...
-- Run the following pbs on mercer to generate result.csv -- #!/bin/bash
#!/bin/bash #PBS -l nodes=1:ppn=1 #PBS -l walltime=12:00:00 #PBS -l mem=64GB #PBS -N M_AND_M
cd ~ mkdir M_AND_M cd M_AND_M/
wget http://cims.nyu.edu/~ml4133/m_and_m_a2.pdf
git clone https://github.com/mugurbil/deepLearningaA2.git m_and_m cd m_and_m /scratch/courses/DSGA1008/bin/th classify.lua -start 1 -finish 8000 -label 1 -model /scratch/ml4133/model_epoch17.data /scratch/courses/DSGA1008/bin/th results.lua > ../predictions.csv