mvs2008的专栏

# coding:utf-8'''Student: Danny HouDate: 2017-06-14Content:简单的神经网络练习'''import tensorflow as tfimport numpy as npimport matplotlib.pyplot as plt# def add layer, it would be very convenient that

tf.flags是用来设置参数的，以便后面的程序用到，感觉跟变量的作用是一样的。# coding: utf-8import tensorflow as tf# define flagstf.flags.DEFINE_integer("age", 17, "age of user(default:20)")tf.flags.DEFINE_boolean("drink_allow", False,

刚学习TF，尝试拿sklearn的datasets来做下练习。波士顿房价数据是个不错的选择。 python3.5 tensorflow 0.12把所有的包import进来# coding: utf-8import tensorflow as tffrom sklearn.datasets import load_bostonimport matplotlib.pyplot as pltf

在Tensorflow:深度神经网络DNN预测波士顿房价（boston house price）【一】 中训练了网络还保存了模型。如何使用训练好的模型？请往下看。。import用到的包# coding: utf-8import tensorflow as tffrom sklearn.datasets import load_bostonfrom sklearn.preprocessing i