TensorFlow示例程序

第一个TensorFLow程序

$python
>>>import tensorflow as tf
>>>hello=tf.constant('Hello, TensorFlow!')
>>>sess=tf.Session()
>>>print sess.run(hello)
Hello, TensorFlow!
>>>a=tf.constant(10)
>>>b=tf.constant(32)
>>>print sess.run(a+b)
 42
>>>

第二个TensorFlow程序

 import tensorflow as tf
import numpy as np
#Make 100 phony data points in NumPy
x_data=np.float32(np.random.rand(2,100))#Random input
y_data=np.dot([0.100,0.200], x_data)+0.300

 #Construct a linear model
 b=tf.Variable(tf.zeros([1])
 W=tf.Variable(tf.random_uniform([1,2],-1.0,1.0))
 y=tf.matmul(W,x_data)+b
#Minimize the squared errors
loss=tf.reduce_mean(tf.square(y-y_data))
optimizer=tf.train.GradientDescentOptimizer(0.5)
 train=optimizer.minimize(loss)

#For initializing the variables.
 init=tf.initialize_all_variables()

 #Launch the graph
sess=tf.Session()
 sess.run(init)

 #Fit the plane
for step in xrange(0,201):
     sess.run(train)
     if step%20==0:
         print step,sess.run(W),sess.run(b)#这里一定要记得缩进，否则会报错

 #Learns best fit is W:[[0.100 0.200]],b: [0.300]