Shubhamai

def dense_block_model(inputs, dilation_factor=None):
    db_layer = LeakyReLU(alpha=0.2)(inputs)
    db_layer = Convolution2D(filters=4 * 64, kernel_size=(1, 1), padding='same')(db_layer)
    db_layer = BatchNormalization()(db_layer)
    db_layer = LeakyReLU(alpha=0.2)(db_layer)

    db_layer = Convolution2D(filters=64, kernel_size=(3, 3), padding='same')(db_layer)
    # adding Dropout Layer to avoide overfitting
    db_layer = Dropout(rate=0.5)(db_layer)
    return db_layer