Function conv_block

tensorlayer/models/mobilenetv1.py:25–29

(n, n_filter, filter_size=(3, 3), strides=(1, 1), name='conv_block')

def conv_block(n, n_filter, filter_size=(3, 3), strides=(1, 1), name='conv_block'):
    # ref: https://github.com/keras-team/keras/blob/master/keras/applications/mobilenet.py
    n = Conv2d(n_filter, filter_size, strides, b_init=None, name=name + '.conv')(n)
    n = BatchNorm(decay=0.99, act=tf.nn.relu6, name=name + '.batchnorm')(n)
    return n


def depthwise_conv_block(n, n_filter, strides=(1, 1), name="depth_block"):