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

Before Change

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

    conv_layers = []
    for ngram_length in NGRAM_LENGTHS:
        ngram_layer = Sequential()
        ngram_layer.add(Convolution1D(
            NB_FILTER,

After Change

    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(

Instances