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| author | nunzip <np.scarh@gmail.com> | 2019-02-27 18:42:46 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2019-02-27 18:42:46 +0000 |
| commit | e87abd6950701afc7301b15daa86ba60bc083a44 (patch) | |
| tree | 19dabd10f1871f20a7b082163532e3b97ad24b8b | |
| parent | c5f5d81dc0233c03f339fdf932ef3f72871db3cf (diff) | |
| parent | 53f94e754faabe129075b1c288c3c109376c34e8 (diff) | |
| download | e4-gan-e87abd6950701afc7301b15daa86ba60bc083a44.tar.gz e4-gan-e87abd6950701afc7301b15daa86ba60bc083a44.tar.bz2 e4-gan-e87abd6950701afc7301b15daa86ba60bc083a44.zip | |
Merge branch 'master' of skozl.com:e4-gan
| -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) |