def conv_layer(inpt, filter_shape, stride): out_channels = filter_shape[3] filter_ = weight_variable(filter_shape) conv = tf.nn.conv2d(inpt, filter=filter_, strides=[1, stride, stride, 1], padding="SAME") mean, var = tf.nn.moments(conv, axes=[0,1,2])#计算一阶矩(均值),以及二阶矩(方差) beta = tf.Variable(tf.zeros([out_channels]), name="beta") gamma = weight_variable([out_channels], name="gamma") batch_norm = tf.nn.batch_norm_with_global_normalization( conv, mean, var, beta, gamma, 0.001, scale_after_normalization=True) out = tf.nn.relu(batch_norm) return out
tf卷积层外加BN实现
最新推荐文章于 2021-12-27 21:35:48 发布