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author | Vasil Zlatanov <v@skozl.com> | 2019-02-27 18:35:41 +0000 |
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committer | Vasil Zlatanov <v@skozl.com> | 2019-02-27 18:35:41 +0000 |
commit | 53f94e754faabe129075b1c288c3c109376c34e8 (patch) | |
tree | 9b310f86d22700f6254ba258409fc0815df3e70b /lenet.py | |
parent | 9c26f3b6e6b317c910bf3bdafc9b070c151dff4a (diff) | |
download | e4-gan-53f94e754faabe129075b1c288c3c109376c34e8.tar.gz e4-gan-53f94e754faabe129075b1c288c3c109376c34e8.tar.bz2 e4-gan-53f94e754faabe129075b1c288c3c109376c34e8.zip |
Add if __main__
Diffstat (limited to 'lenet.py')
-rw-r--r-- | lenet.py | 7 |
1 files changed, 4 insertions, 3 deletions
@@ -125,6 +125,7 @@ def test_classifier(model, x_test, y_true): plot_example_errors(y_pred, y_true, x_test) # If file run directly, perform quick test -x_train, y_train, x_val, y_val, _, _ = import_mnist() -model = train_classifier(x_train[:100], y_train[:100], x_val, y_val, epochs=1) -test_classifier(model, x_val, y_val) +if __name__ == '__main__': + x_train, y_train, x_val, y_val, _, _ = import_mnist() + model = train_classifier(x_train[:100], y_train[:100], x_val, y_val, epochs=1) + test_classifier(model, x_val, y_val) |