模型参数的初始化
1. tf.global_variables_initializer() 可以初始化所有变量。 import tensorflow as tfa=tf.Variable(tf.ones((2,3)),name='a')b=tf.Variable(tf.random_normal(shape=(2,3),stddev=0.35),name='b')sess=tf.Session()sess.run(tf.global_variables_initializer())print(sess.run(a))print(sess.run(b)) 2. tf.variables_initializer([var_list]) 仅初始化列表var_list种的值。 import tensorflow as tfa=tf.Variable(tf.ones((2,3)),name='a')b=tf.Variable(tf.random_normal(shape=(2,3),stddev=0.35),name='b')sess=tf.Session()# sess.run(tf.variables_initializer([a])) # 只初始化变量a,而变量b未作初始化,因此执行会报错。sess.run(tf.variables_initializer([a,b])) # 对变量a与b做了初始化