import tensorflow as tf
sess = tf.Session()
# 先加载图和变量
saver = tf.train.import_meta_graph('my_test_model-1000.meta')
saver.restore(sess, tf.train.latest_checkpoint('./'))
ReferenceTensorflow加载预训练模型和保存模型(ckpt文件)以及迁移学习finetuning
import tensorflow as tf
sess = tf.Session()
# 先加载图和变量
saver = tf.train.import_meta_graph('my_test_model-1000.meta')
saver.restore(sess, tf.train.latest_checkpoint('./'))
ReferenceTensorflow加载预训练模型和保存模型(ckpt文件)以及迁移学习finetuning