arima

刘月田老师的作业，大家可以参考参考。

说明：  回声状态网络(ESN)python实现代码，ESN是RNN的改进(Echo State Network (ESN) Python implementation code, ESN is an improvement of RNN)

说明：  Python环境下 愤怒的小鸟 强化学习程序完整版，Qlearning 算法(The full version of Angry Birds Reinforcement Learning Program in Python Environment, Qlearning Algorithm)

说明：  前向算法后向算法双向算法方法实现中文匹配(Forward algorithm backward algorithm two way algorithm for Chinese matching)

python文件，可以对新闻等文本进行分词，然后根据每个词出现的次数进行排序，展示出现次数最多的词语，形成词云。(Python file, can be news and other text segmentation, and then according to the number of times each word to sort, show the most frequently appeared words, the formation of word cloud.)

使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

基于卷积神经网络的人脸识别，学生作品啊啊啊啊啊啊(open face cnn student school what i should do)

说明：  《Python学习手册(第3版)》是作者根据过去10年用于教学而广为人知的培训课程的材料编写而成的。除了有许多详实说明和每章小结之外，每章还包括一个头脑风暴：这是《Python学习手册(第3版)》独特的一部分，配合以实用的练习题和复习题，让读者练习新学的技巧并测试自己的理解程度。(The Python Learning Manual (3rd Edition) was compiled by the author on the basis of well-known training materials for teaching in the past 10 years. In addition to many detailed explanations and summaries of each chapter, each chapter also includes a brainstorming: this is a unique part of Python Learning Manual (3rd edition), with practical exercises and review questions, allowing readers to practice new learning skills and test their understanding.)

coursera课上的机器学习课程作业代码，里面的代码在matlab与octave中进行了一一实现。

基于RNN，实现语句情感分类，代码附带注释可直接运行