TF:利用TF的train.Saver载入曾经训练好的variables(W、b)以供预测新的数据—Jason niu
import tensorflow as tf import numpy as np W = tf.Variable(np.arange(6).reshape((2, 3)), dtype=tf.float32, name="weights") b = tf.Variable(np.arange(3).reshape((1, 3)), dtype=tf.float32, name="biases") saver = tf.train.Saver() with tf.Session() as sess: saver.restore(sess, "niu/save_net.ckpt") print("weights:", sess.run(W)) print("biases:", sess.run(b))
不念过去,不畏将来!
理想,信仰,使命感……
愿你出走半生,归来仍是少年……