models.py 文件源码

def fire_module(x, squeeze=16, expand=64):
    x = Convolution2D(squeeze, 1, 1, border_mode='valid')(x)
    x = Activation('relu')(x)

    left = Convolution2D(expand, 1, 1, border_mode='valid')(x)
    left = Activation('relu')(left)

    right= ZeroPadding2D(padding=(1, 1))(x)
    right = Convolution2D(expand, 3, 3, border_mode='valid')(right)
    right = Activation('relu')(right)

    x = merge([left, right], mode='concat', concat_axis=1)
    return x


# Original SqueezeNet from paper. Global Average Pool implemented manually with Average Pooling Layer