tensorflow的具体函数(api)理解-----计算机学报相关研读

# -*- coding: UTF-8 -*-
'''
Created on 2017��12��13��
'''
#用于测试python读取matlab中的mat文件
# scipy.io.loadmat(file_name, mdict=None, appendmat=True, **kwargs)
# file_name : MATLAB文件名
# appendmat : 如果是true的话，后面就不用加上.mat的后缀了
# result_dict : 返回的是一个字典，变量名作为键，载入的矩阵作为值。
from scipy.io import loadmat
import matplotlib.pyplot as plt
import numpy as np

result_dict=loadmat("DynamicFeature")

#查看有返回的类型和他的键
print("type of result:",type(result_dict))
print("keys:",result_dict.keys())
# ('type of result:', <type 'dict'>)
# ('keys:', ['DynamicFeature', '__version__', '__header__', '__globals__'])

#查看键的内容
#DynamicFeature
print("DynamicFeature:",result_dict['DynamicFeature'])
DynamicFeatureData = result_dict['DynamicFeature']
print("type of DynamicFeature:",type(result_dict['DynamicFeature']))
print("shape of DynamicFeature:",result_dict['DynamicFeature'].shape)
print DynamicFeatureData[:,0] #所有行，第一列
# 数据的矩阵也是很标准的ndarray
x = np.linspace(1, 62, 62)
print x
plt.plot(x,DynamicFeatureData[:,0],color="red",linewidth=2)
plt.show()

可以参考这个博客：http://blog.csdn.net/lenbow/article/details/52152766#comments
http://blog.csdn.net/data8866/article/details/60960889
tensorflow学习经历https://www.zhihu.com/question/41667903?from=profile_question_card

极客学院http://wiki.jikexueyuan.com/project/tensorflow-zh/personal.html
http://m.blog.csdn.net/u011974639/article/details/75363565   TensorFlow实战：Chapter-3（CNN-1-卷积神经网络简介）比较重要！

一维卷积使用http://www.uml.org.cn/ai/201711132.asp?artid=20051

ROC：   http://blog.csdn.net/zdy0_2004/article/details/44948511
数据读取python读取txt mat文件（matlab中的） http://www.jianshu.com/p/da4ed6407be7 
http://blog.csdn.net/xierhacker/article/details/53201308 [重要]-------这块要实际操作一下！-----没什么问题!