上篇博客说了ResNet和DenseNet的原理,这次说说具体实现
ResNet
def basic_block(input, in_features, out_features, stride, is_training...current = basic_block(current, out_features, out_features, 1, is_training, keep_prob)
return current
DenseNet...tf.concat(3, (current, tmp))
features += growth
return current, features
def model():
"""DenseNet