tensorflow_1 小试牛刀

import module

    import tensorflow as tf
    import numpy as np

creat data

    # creat 100 random sequences for x_data
    x_data = np.random.rand(100).astype(np.float32)
    y_data = x_data * 0.1 + 0.3

creat 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))
    optomizer = tf.train.GradientDescentOptimizer(0.5) # learning rate
    train = optomizer.minimize(loss)
    # initialize all variables
    # init = tf.initialize_all_variables() # 
    init = tf.global_variables_initializer()

creat tensorflow structure end

activated neural network

    sess = tf.Session()
    sess.run(init)  # do not forget

    for step in range(201):
    sess.run(train)
    if step % 20 == 0:
        print(step,sess.run(Weights),sess.run(biases))

result