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..
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.ipynb_checkpoints
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theanoml
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theanoml2
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BASIC_UFLDL Tutorial.ipynb
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BASIC_UFLDL_autoencoder.ipynb
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BASIC_UFLDL_pca-zca-whitening.ipynb
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BASIC_pandas_io(specially hdf5).ipynb
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BASIC_pandas_plotting.ipynb
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BASIC_pandas_sklearn.ipynb
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BASIC_pandas_tutorial.ipynb
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BASIC_sklearn_fact_book.ipynb
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BASIC_theano.ipynb
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BASIC_theano_II.ipynb
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BASIC_theano_III_RBM.ipynb
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BASIC_theano_revisited_1.ipynb
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BASIC_yaml.ipynb
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COURSE_Andrew_Ng_1.ipynb
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COURSE_deep_learning.ipynb
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FEATURE_by_clustering.ipynb
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FEATURE_images.ipynb
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HANDSON_causality.ipynb
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PRACTICE_feature_and_ensemble.ipynb
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PRACTICE_greedy_ensemble.ipynb
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PRACTICE_greedy_ensemble_r1.ipynb
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REGULARIZATION_sklearn_comparison.ipynb
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TEST_feature_engineering.ipynb
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TEST_greedy_ensemble.ipynb
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TEST_greedy_ensemble_II.ipynb
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TEST_greedy_ensemble_III.ipynb
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TEST_theano_lenet.ipynb
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TEST_theanoml.ipynb
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TEST_theanoml2_formula_optimize.ipynb
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TEST_theanoml_MLP.ipynb
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TEST_theanoml_autoencoder.ipynb
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TEST_theanoml_formula.ipynb
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THEORY_feature_engineering.ipynb
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.DS_Store
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README.md
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ensemble.py
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feature_extraction1.png
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features.py
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iterate.dat
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pca_vs_ica.png
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yaml_autoencoder.py
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yaml_model3.pkl
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