Slide 40
Slide 40 text
conv3 = tf.layers.conv2d(pool2, 256, [3, 3], [1, 1],
padding='VALID',
activation=tf.nn.relu,
use_bias=False,
trainable=training,
name='conv4_1')
conv3 = tf.layers.conv2d(conv3, 256, [3, 3], [1, 1],
padding='VALID',
activation=tf.nn.relu,
use_bias=False,
trainable=training,
name='conv4_2')
conv3 = tf.layers.batch_normalization(conv3, trainable=training, name='bn_4')
pool3 = tf.layers.max_pooling2d(conv3, [2, 2], [2, 2])
conv = tf.layers.conv2d(pool3, 64, [1, 1], [1, 1],
padding='VALID',
activation=tf.nn.relu,
use_bias=True,
trainable=training,
name='conv')
return conv