CNNautoencoder

python基础，适合初学者的一些源代码。(Python foundation, suitable for beginners of some source code.)

python 简易计算机 实例源码

sift stitch基于opencv库的拼接算法小测试(sift stitch Small test of Mosaic algorithm based on opencv library)

说明：  python图书 数据分析 机器学习 模型算法 入门书籍(DEEP LEARNING : METHODS AND APPLICATIONS Li Deng and Dong Yu Microsoft Research One Microsoft Way Redmond, WA 98052 NOW PUBLISHERS, 2014 2 Table of Contents Chapter 1 Introduction 5 1.1 Definitions and Background 5 1.2 Organization of This Book 8 Chapter 2 Some Historical Context of Deep Learning 11 Chapter 3 Three Classes of Deep Learning Network)

Python 自定义FTP功能 实例源码

说明：  使用tensorflow2.0以上版本,python实现的LSTM长短时记忆网络(tensorflow2.0; LSTM;)

在python3.5版本上运行该代码，可以计算邻域粗糙集的依赖度，并且作图

聚类分析，是通过在多光谱图像中搜寻、定义其自然相似光谱集群，对图像进行分类的过程。 不需要人工选择训练样本，需要预设一定的条件，让计算机按照一定的规则自动地根据像元光谱或空间等特征组成集群组，然后分析、比较集群组和参考数据，给每个集群组赋予一定的类别

房价预测系统，利用python语句实现，在读入数据后，利用神经网络训练数据特征，从而实现推荐。(The house price forecasting system is realized by Python statement. After reading the data, the data features are trained by neural network to realize recommendation.)

说明：  人工智能课程作业，TensorFlow中使用CNN实现手写体数字识别，基于CNN实现手写体数字识别并对比MLP分析。文章对代码原理结构有较为详尽的分析和解释，结尾处附有程序完整代码，可在python中直接运行。(Artificial intelligence course assignments, TensorFlow uses CNN to realize handwritten numeral recognition, and CNN to realize handwritten numeral recognition and MLP analysis. This article has a more detailed analysis and explanation of the code principle and structure. At the end of the article, there is a complete program code, which can run directly in python.)