py opc 客户端

【实例简介】

用python实现双字哈希字典，可用于中文分词(Using Python to realize double-character hash dictionary, which can be used for Chinese word segmentation)

我们提供一类称为MobileNets的高效模型，用于移动和嵌入式视觉应用。?MobileNets是基于一个流线型的架构，它使用深度可分离的卷积来构建轻量级的深层神经网络。我们引入两个简单的全局超参数，在延迟度和准确度之间有效地进行平衡。这两个超参数允许模型构建者根据问题的约束条件，为其应用选择合适大小的模型。我们进行了资源和精度权衡的广泛实验，与ImageNet分类上的其他流行的网络模型相比，MobileNets表现出很强的性能。最后，我们展示了MobileNets在广泛的应用场景中的有效性，包括物体检测，细粒度分类，人脸属性和大规模地理定位。(We provide an efficient model called MobileNets for mobile and embedded vision applications. MobileNets is based on a streamlined architecture that USES deep separable convolution to build a lightweight deep neural network. We introduce two simple global hyperparameters to effectively balance the delay and accuracy. These two hyperparameters allow the model builder to select an appropriate size model for its application based on the constraints of the problem. We conducted extensive experiments on resource and precision tradeoffs, and MobileNets showed strong performance compared with other popular network models on the ImageNet classification. Finally, we demonstrate the effectiveness of MobileNets in a wide range of application scenarios, including object detection, fine-grained classification, face attributes, and large-scale geographic localization.)

12306春运抢票

使用Python语言，基于逻辑回归的算法，实现房价的预测(predict housing price)

该编程代码可以很好的实现车联网中移动车载自组网的仿真(The programming code can well realize the simulation of mobile in-vehicle ad hoc network in car networking)

说明：  让你对Python语言有深入而完整的了解，从而帮助你理解今后遇到的任何Python应用程序实例。(Let you have a thorough and complete understanding of the Python language, so as to help you understand any Python application examples you will encounter in the future.)

针对python的congfigparse功能，进行编程，并用实例验证方法的正确性。(The congfigparse for python functions to be programmed, and the correctness of the authentication method with an example.)

对数据进行优化，分类，例如GMM分类方法，KNN分类，支持向量机分类。(Optimize data, classification, such as GMM classification method, KNN classification, support vector machine classification)

说明：  深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)