28b8b9d39f53d8327dbf658048a81b7046ae398f,magpie/nn/models.py,,cnn,#,19

Before Change


    model.add(Dropout(0.5))
    model.add(Flatten())

    model.add(Dense(output_length, activation="sigmoid"))

    model.compile(
        loss="binary_crossentropy",
        optimizer="adam",

After Change


    NB_FILTER = 256
    NGRAM_LENGTHS = [1, 2, 3, 4, 5]

    conv_layers, inputs = [], []

    for ngram_length in NGRAM_LENGTHS:
        current_input = Input(shape=(SAMPLE_LENGTH, embedding_size))
        inputs.append(current_input)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

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/Keras-GAN
Commit Name: ce7dc229bea184b9d606a1fe6a19a30c2c4a0d36
Time: 2018-05-11
Author: eriklindernoren@gmail.com
File Name: aae/adversarial_autoencoder.py
Class Name: AdversarialAutoencoder
Method Name: build_encoder


Project Name: inspirehep/magpie
Commit Name: 2a98094ba6ef75e8162773c6dc7a2f5ae0c458bf
Time: 2016-01-25
Author: jan.stypka@cern.ch
File Name: magpie/nn/models.py
Class Name:
Method Name: build_cnn_model