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

Before Change

    model = Sequential()
    model.add(Merge(conv_layers, mode="concat"))

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

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

After Change

    conv_layers, inputs = [], []

    for ngram_length in NGRAM_LENGTHS:
        current_input = Input(shape=(SAMPLE_LENGTH, embedding_size))
        inputs.append(current_input)

        convolution = Conv1D(

Instances