1.下载python
2.下载tensotflow
pip install numpy-i https://pypi.tuna.tsinghua.edu.cn/simple/
pip install scipy-i https://pypi.tuna.tsinghua.edu.cn/simple/
pip install tensorflow -i https://pypi.tuna.tsinghua.edu.cn/simple/
pip install keras -i https://pypi.tuna.tsinghua.edu.cn/simple/
pip install h5py
下面是第一个tensorflow程序
import tensorflow as tf
import numpy as np
#create data
x_data=np.random.rand(100).astype(np.float32)
y_data=x_data*0.1+0.3
###create tensorflow structure start ###
Weights=tf.Variable(tf.random_uniform([1],-1.0,1.0))
biases=tf.Variable(tf.zeros([1]))
y=Weights*x_data+biases
loss=tf.reduce_mean(tf.square(y-y_data))
optimizer=tf.train.GradientDescentOptimizer(0.5)
train=optimizer.minimize(loss)
init=tf.initialize_all_variables()
####create tensorflow structure end ###
sess=tf.Session()
sess.run(init) #Very important
for step in range(201):
sess.run(train)
if step%20==0:
print(step,sess.run(Weights),sess.run(biases))