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author | bloodstalker <thabogre@gmail.com> | 2018-11-17 11:13:53 +0000 |
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committer | bloodstalker <thabogre@gmail.com> | 2018-11-17 11:13:53 +0000 |
commit | 544f9d5289601a8ff2db4b92086d9cb7089128f5 (patch) | |
tree | e399696b66c2237e2295a469fd2c7f28cbef9bb0 /dlstuff/two.py | |
parent | update (diff) | |
download | seer-544f9d5289601a8ff2db4b92086d9cb7089128f5.tar.gz seer-544f9d5289601a8ff2db4b92086d9cb7089128f5.zip |
update
Diffstat (limited to 'dlstuff/two.py')
-rwxr-xr-x | dlstuff/two.py | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/dlstuff/two.py b/dlstuff/two.py index 8287708..1d4a614 100755 --- a/dlstuff/two.py +++ b/dlstuff/two.py @@ -66,14 +66,12 @@ def premain(argparser): x_test = vectorize_sequences(test_data) y_train = np.asarray(train_labels).astype("float32") y_test = np.asarray(test_labels).astype("float32") - model = models.Sequential() model.add(layers.Dense(16, kernel_regularizer=regularizers.l2(0.001), activation="relu", input_shape=(10000,))) model.add(layers.Dropout(0.5)) model.add(layers.Dense(16, kernel_regularizer=regularizers.l2(0.001), activation="relu")) model.add(layers.Dropout(0.5)) model.add(layers.Dense(1, activation="sigmoid")) - x_val = x_train[:10000] partial_x_train = x_train[10000:] y_val = y_train[:10000] |