TensorFlow学习笔记

    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
    #随机生成weight，biases为0
    Weight = tf.Variable(tf.random_uniform([1],-1.0,1.0))
    biases = tf.Variable(tf.zeros([1]))
    #设置假设函数，loss函数，优化器，以及init初始化
    y = Weight*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()
    #激活初始化
    sess = tf.Session()
    sess.run(init)
    #f