6aa687639763a93dec00afa0888db5abf4301bee,src/models/cnn.py,,,#,343
Before Change
if __name__ == "__main__":
input_shape = (64, 64, 1)
num_classes = 7
model = tiny_XCEPTION(input_shape, num_classes)
model.summary()
model = mini_XCEPTION(input_shape, num_classes)
model.summary()
model = big_XCEPTION(input_shape, num_classes)
model.summary()
After Change
//model.summary()
//model = big_XCEPTION(input_shape, num_classes)
//model.summary()
model = simple_CNN((48, 48, 1), num_classes)
model.summary()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: oarriaga/face_classification
Commit Name: 6aa687639763a93dec00afa0888db5abf4301bee
Time: 2017-07-14
Author: arriaga.camargo@gmail.com
File Name: src/models/cnn.py
Class Name:
Method Name:
Project Name: philipperemy/deep-speaker
Commit Name: 795470ff95ce2b18d40dec5c04b6c6f5ba4c23bf
Time: 2020-04-05
Author: premy.enseirb@gmail.com
File Name: v4/conv_models.py
Class Name:
Method Name: train
Project Name: philipperemy/deep-speaker
Commit Name: d14ad44d0f425c04be5a6cdca13fc513fba53843
Time: 2017-06-12
Author: premy@reactive.co.jp
File Name: test_models_train.py
Class Name:
Method Name: