Created by: yeyupiaoling

我在复现 MobileFaceNets 模型的时候，为什么这个模型没有说全连接层，它是否需要用到全连接层？

def net(input, class_dim):
    bottleneck_params_list = [
        (2, 64, 5, 2),
        (4, 128, 1, 2),
        (2, 128, 6, 1),
        (4, 128, 1, 2),
        (2, 128, 2, 1),
    ]

    # conv 3*3
    input = conv_bn_layer(input,
                          num_filters=64,
                          filter_size=3,
                          stride=2,
                          padding=1,
                          if_act=True)

    # detphwise conv 3*3
    input = depthwise_separable(input,
                                num_filters1=64,
                                num_filters2=64,
                                num_groups=64,
                                stride=1,
                                padding=1,
                                if_act=True)

    # bottleneck
    in_c = 32
    for layer_setting in bottleneck_params_list:
        t, c, n, s = layer_setting
        input = invresi_blocks(input=input,
                               in_c=in_c,
                               t=t,
                               c=c,
                               n=n,
                               s=s)
        in_c = c

    # conv 1*1
    input = conv_bn_layer(input=input,
                          num_filters=512,
                          filter_size=1,
                          stride=1,
                          padding=0,
                          if_act=True)

    # linear GDConv 7*7
    input = depthwise_separable(input,
                                num_filters1=512,
                                num_filters2=512,
                                num_groups=512,
                                stride=1,
                                padding=0,
                                if_act=False)
    # linear conv 1*1
    feature = conv_bn_layer(input=input,
                            num_filters=128,
                            filter_size=1,
                            stride=1,
                            padding=0,
                            if_act=False)

    return feature