inception_resnet_v2_original.py 文件源码

python
阅读 20 收藏 0 点赞 0 评论 0

项目:tf_face 作者: ZhijianChan 项目源码 文件源码
def block8(x, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=None):
    """Builds the 8x8 ResNet block."""
    with tf.variable_scope(scope, 'Block8', [x], reuse=reuse):
        with tf.variable_scope('Branch_0'):
            tower_conv = slim.conv2d(x, 192, 1, scope='Conv2d_1x1')
        with tf.variable_scope('Branch_1'):
            tower_conv1_0 = slim.conv2d(x, 192, 1, scope='Conv2d_0a_1x1')
            tower_conv1_1 = slim.conv2d(tower_conv1_0, 224, [1, 3], scope='Conv2d_0b_1x3')
            tower_conv1_2 = slim.conv2d(tower_conv1_1, 256, [3, 1], scope='Conv2d_0c_3x1')
        mixed = tf.concat(values=[tower_conv, tower_conv1_2], axis=3)
        up = slim.conv2d(mixed, x.get_shape()[3], 1,
                         normalizer_fn=None,
                         activation_fn=None,
                         scope='Conv2d_1x1')
        x += scale * up
        if activation_fn:
            x = activation_fn(x)
    return x


# Reduce-A
# (3 branches)
评论列表
文章目录


问题


面经


文章

微信
公众号

扫码关注公众号