c5b5e832877397c3bcc6021080087553d20e840c,dlpy/applications.py,,ResNet152_SAS,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,1685

Before Change


                                 strides=strides, batch_norm_first=batch_norm_first))
    model.add(BN(act="relu"))
    // Bottom Layers
    pooling_size = (width // 2 // 2 // 2 // 2 // 2,
                    height // 2 // 2 // 2 // 2 // 2)
    model.add(Pooling(width=pooling_size[0], height=pooling_size[1], pool="mean"))

    model.add(OutputLayer(act="softmax", n=n_classes))

After Change


                                 strides=strides, batch_norm_first=batch_norm_first))
    model.add(BN(act="relu"))
    // Bottom Layers
    model.add(GlobalAveragePooling2D())

    model.add(OutputLayer(act="softmax", n=n_classes))
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 16

Instances


Project Name: sassoftware/python-dlpy
Commit Name: c5b5e832877397c3bcc6021080087553d20e840c
Time: 2019-05-30
Author: Wenyu.Shi@sas.com
File Name: dlpy/applications.py
Class Name:
Method Name: ResNet152_SAS


Project Name: sassoftware/python-dlpy
Commit Name: c5b5e832877397c3bcc6021080087553d20e840c
Time: 2019-05-30
Author: Wenyu.Shi@sas.com
File Name: dlpy/applications.py
Class Name:
Method Name: ResNet34_SAS


Project Name: sassoftware/python-dlpy
Commit Name: c5b5e832877397c3bcc6021080087553d20e840c
Time: 2019-05-30
Author: Wenyu.Shi@sas.com
File Name: dlpy/applications.py
Class Name:
Method Name: ResNet50_Caffe