Tensorflow是目前非常流行的deeplearning框架，学习Tensorflow最好的方法是github上的tf项目

或者阅读极客学院主导翻译的中文教程 。

　　此处对tensorflow的基本语法不予赘述，直接贴上源码：

import numpy as npimport tensorflow as tf #准备数据trainX = np.linspace(-1, 1, 101)trainY = 2 * trainX + np.random.randn(*trainX.shape) * 0.33 #定义模型 def model(X, w):    return tf.mul(X, w) #初始化数据流图X = tf.placeholder('float')Y = tf.placeholder('float')w = tf.Variable(0.0, name = 'weights')y_ = model(X, w) #评估模型cost = tf.square(Y - y_)train_op = tf.train.GradientDescentOptimizer(0.01).minimize(cost)sess = tf.InteractiveSession()init = tf.initialize_all_variables()#训练sess.run(init)for i in range(100):    for (x, y) in zip(trainX, trainY):        sess.run(train_op, feed_dict = {X: x, Y: y})print sess.run(w)sess.close()