python深度学习tensorflow入门基础教程示例

a=tf.constant(10)

x=tf.Variable(tf.ones([3,3]))
y=tf.Variable(tf.zeros([3,3]))

init=tf.global_variables_initializer()

import tensorflow as tf
import numpy as np
x=np.array([[1,1,1],[1,-8,1],[1,1,1]])
w=tf.Variable(initial_value=x)
sess=tf.Session()
sess.run(tf.global_variables_initializer())
print(sess.run(w))

x = tf.placeholder(tf.float32, [None, 784])

x=3
y=2
z=x+y
print(z)

import tensorflow as tf
x = tf.Variable(3)
y = tf.Variable(5)
z=x+y
init =tf.global_variables_initializer()

with tf.Session() as sess: 
sess.run(init) 
print(sess.run(z))

import tensorflow as tf
Word=tf.constant('hello,world!')
with tf.Session() as sess:
    print(sess.run(word))

import tensorflow as tf 
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)
add = tf.add(a, b)
mul = tf.mul(a, b)
with tf.Session() as sess:
    print('a+b=',sess.run(add, feed_dict={a: 2, b: 3}))
    print('a*b=',sess.run(mul, feed_dict={a: 2, b: 3}))

import tensorflow as tf 
a=tf.Variable(tf.ones([3,2]))
b=tf.Variable(tf.ones([2,3]))
product=tf.matmul(5*a,4*b)
init=tf.initialize_all_variables()
with tf.Session() as sess:
    sess.run(init)
    print(sess.run(product))

product=tf.matmul(5*a,4*b)

product=tf.matmul(tf.mul(5.0,a),tf.mul(4.0,b))