深度学习cnn(minst数据集)

说明：  abaqus二次开发攻略一些小程序分享给大家二次开发攻略一些小程序分享给大家(ABAQUS Python secondary development strategy)

说明：  视频跟踪是计算机视觉中的一个重要研究方向，有着广泛的应用，如：视频监控，人机交互， 无人驾驶等。过去二三十年视觉目标跟踪技术取得了长足的进步，特别是最近两年利用深度学习的目标跟踪方法取得了令人满意的效果，使目标跟踪技术获得了突破性的进展。本文旨在简要介绍：目标跟踪的基本流程与框架，目标跟踪存在的挑战，目标跟踪相关方法，以及目标跟踪最新的进展等，此次资料能够帮助初学者对于这个领域有一个初步的认识。(Video tracking is an important research direction in computer vision and has a wide range of applications, such as: video surveillance, human-computer interaction, and unmanned driving. The visual target tracking technology has made great progress in the past two or three decades, especially the target tracking method using deep learning in the past two years has achieved satisfactory results, making the target tracking technology a breakthrough. This article aims to briefly introduce: the basic process and framework of target tracking, the challenges of target tracking, related methods of target tracking, and the latest progress of target tracking. This information can help beginners to have a preliminary understanding of this field.)

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.)

说明：  本压缩包 包含一系列的遗传算法的python程序及算例(Genetic algorithm python program)

说明：  多目标程序优化，各种算法，成本费用优化，大家可以相互交流(Multi objective program optimization, various algorithms, cost optimization, we can communicate with each other)

说明：  logistics回归分析算法python实现(Python implementation of logistic regression analysis algorithm)

说明：  图像开运算代码实例，可以直接运行，只需修改路径(Examples of image open operation code)

说明：  通过已经获取的新冠肺炎数据 预测未来走势 并用网页的形式动态呈现(The novel coronavirus pneumonia data are used to predict the future trend and to dynamically display it in webpage form.)

批量下载ERA interim数据资料的方法(download ERA interim in batch)

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