inception_v3.py 文件源码

def inceptionA(input_layer, nfilt):
    # Corresponds to a modified version of figure 5 in the paper
    l1 = bn_conv(input_layer, num_filters=nfilt[0][0], filter_size=1)

    l2 = bn_conv(input_layer, num_filters=nfilt[1][0], filter_size=1)
    l2 = bn_conv(l2, num_filters=nfilt[1][1], filter_size=5, pad=2)

    l3 = bn_conv(input_layer, num_filters=nfilt[2][0], filter_size=1)
    l3 = bn_conv(l3, num_filters=nfilt[2][1], filter_size=3, pad=1)
    l3 = bn_conv(l3, num_filters=nfilt[2][2], filter_size=3, pad=1)

    l4 = Pool2DLayer(
        input_layer, pool_size=3, stride=1, pad=1, mode='average_exc_pad')
    l4 = bn_conv(l4, num_filters=nfilt[3][0], filter_size=1)

    return ConcatLayer([l1, l2, l3, l4])