tensorflow实现最简单的前向传播

#定义输入和参数
x = tf.constant([[1. , 2.]])
w1 = tf.Variable(tf.random_normal([2,3] , stddev=1 , mean=0 , seed=1))
w2 = tf.Variable(tf.random_normal([3,1] , stddev=1 , mean=0 ,seed=1))

#定义前向传播过程
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(sess.run(y))