中国大学Mooc 北京大学 人工智能实践:Tensorflow笔记(week3)
#coding:utf-8 #两层简单神经网络(全连接) import tensorflow as tf #定义输入和参数 #用placeholder实现输入定义(sess.run中喂一组数据) x = tf.placeholder(tf.float32, shape = (None, 2)) w1 = tf.Variable(tf.random_normal([2, 3], stddev = 1, seed = 1)) w2 = tf.Variable(tf.random_normal([3, 1], stddev = 1, seed = 1)) #定义向前传播过程 a = tf.matmul(x, w1) y = tf.matmul(a, w2) #用会话计算结果 with tf.Session() as sess: init_op = tf.global_variables_initializer() sess.run(init_op) print("the result of this exercise is \n", sess.run(y, feed_dict = {x:[[0.7, 0.5], [0.2, 0.3], [0.3, 0.4], [0.4, 0.5]]})) print("w1\n", sess.run(w1)) print("w2\n", sess.run(w2))