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

        pooling = MaxPooling1D(pool_size=pool_size)(convolution)
        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(
        loss="binary_crossentropy",
        optimizer="adam",

Instances