28b8b9d39f53d8327dbf658048a81b7046ae398f,magpie/nn/models.py,,cnn,#,19
Before Change
ngram_layer.add(MaxPooling1D(pool_length=pool_length))
conv_layers.append(ngram_layer)
model = Sequential()
model.add(Merge(conv_layers, mode="concat"))
model.add(Dropout(0.5))
model.add(Flatten())
After Change
conv_layers.append(pooling)
merged = Concatenate()(conv_layers)
dropout = Dropout(0.5)(merged)
flattened = Flatten()(dropout)
outputs = Dense(output_length, activation="sigmoid")(flattened)
model = Model(inputs=inputs, outputs=outputs)
model.compile(
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: inspirehep/magpie
Commit Name: 28b8b9d39f53d8327dbf658048a81b7046ae398f
Time: 2017-10-08
Author: stypka@spotify.com
File Name: magpie/nn/models.py
Class Name:
Method Name: cnn
Project Name: eriklindernoren/PyTorch-GAN
Commit Name: a4697d7e45e66a3264eb56dcf489d67d4df40d23
Time: 2018-04-23
Author: eriklindernoren@gmail.com
File Name: implementations/cgan/cgan.py
Class Name: Discriminator
Method Name: __init__
Project Name: inspirehep/magpie
Commit Name: 28b8b9d39f53d8327dbf658048a81b7046ae398f
Time: 2017-10-08
Author: stypka@spotify.com
File Name: magpie/nn/models.py
Class Name:
Method Name: rnn