SCUC

基于Python编写的用于曲线拟合，最小二乘法(Based on Python for curve fitting, least squares method.)

作者是Sebastian Raschka，密歇根州立大学的博士生，他在计算生物学领域提出了几种新的计算方法，还被科技博客Analytics Vidhya评为GitHub上最具影响力的数据科学家。他有一整年都使用Python进行编程的经验，同时还多次参加数据科学应用与机器学习领域的研讨会。在数据科学、机器学习以及Python等领域他拥有丰富的演讲和写作经验，本书可使得不具备机器学习背景的人设计出由数据驱动的解决方案。(The author, Sebastian Raschka, a PhD student at Michigan State University, has come up with several new computational methods in computational biology and has been named the most influential data scientist on GitHub by Analytics Vidhya, a technology blog. He has a year of programming experience using Python, and has attended many seminars in data science applications and machine learning. He has extensive lecture and writing experience in data science, machine learning, and Python, and this book enables people who do not have a machine learning background to design data-driven solutions.)

通过GAN和WGAN在python的tensorflow平台上实现图片生成，与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)

Making use of Python. 本书包含了Python编程的大量例子及代码，对于程序语言的深入学习及实际运用有益。(Making use of Python. This book contains a large number of examples and code in the Python programming, useful for in-depth study and practical application of the programming language.)

自然语言处理语义分析演讲内容，入门者推荐学习(Text categorized corpus)

说明：  方自虎老师的abaqus钢筋模型，进供学术交流(Teacher Fang Zihu's ABAQUS reinforcing bar model for academic exchange)

PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。给出一个用pso来解决的寻优问题

实现两幅bmp图像相减得到最终图像并显示(Realize two BMP image subtraction, get the final image and display)

深度置信网，经过调试，运行没有问题。运行时有点占内存，速度稍慢。(Deep Belief Nets, Restricted Boltzmann Maching)

【实例简介】Blender软件插件。