如何在TensorFlow中打印分类器的训练参数

import tensorflow as tf

# 定义输入占位符
x = tf.placeholder(tf.float32, shape=[None, input_size], name='input')

# 定义权重和偏置变量
W = tf.Variable(tf.zeros([input_size, num_classes]), name='weights')
b = tf.Variable(tf.zeros([num_classes]), name='biases')

# 定义分类器模型
logits = tf.matmul(x, W) + b

# 创建会话
with tf.Session() as sess:
    # 初始化变量
    sess.run(tf.global_variables_initializer())

    # 打印训练参数
    print("权重：")
    print(sess.run(W))
    print("偏置：")
    print(sess.run(b))