0cfe82c6beb9a28a5ff7da81b86fa0e93c388f14,tasks/save_reload_model.py,,,#,10
Before Change
model.set_weights(w.tolist())
else:
// Save the checkpoint.
w = np.array(model.get_weights())
np.savez_compressed(file="tcn.npz", w=w, allow_pickle=True)
print("First time.")
// Make inference.
After Change
kernel_size=6,
dilations=[1, 2, 4]),
Dropout(0.5),
Dense(units=1, activation="sigmoid") ])
// get model as json string and save to file
model_as_json = model.to_json()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: philipperemy/keras-tcn
Commit Name: 0cfe82c6beb9a28a5ff7da81b86fa0e93c388f14
Time: 2019-11-20
Author: premy@cogent.co.jp
File Name: tasks/save_reload_model.py
Class Name:
Method Name:
Project Name: jhfjhfj1/autokeras
Commit Name: 6cb84f4b742861e823015cac18535efa468b0d81
Time: 2017-12-15
Author: jhfjhfj1@gmail.com
File Name: autokeras/layer_transformer.py
Class Name:
Method Name: dense_to_wider_layer