griffinlim

用python语言编写蛇和梯子基础程序，可使用processing运行，内含一个地图。

自已写的图形项界面， 主要功能就是在一个view中，显示item，并可对item进行操作，还有些缩放平移功能没有实现，没有动画效果。

本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(This book is written by Franc_ois Chollet, the father of Keras and a current researcher on artificial intelligence at Google. It introduces in detail the exploratory practice of using Python and Keras for in-depth learning, including computer vision, natural language processing, production models and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because the book is based on the accessibility and popularity of artificial intelligence, readers need not have the background knowledge of machine learning to start reading. After learning this book, readers will have the ability to build their own in-depth learning environment, establish image recognition model, generate images and text.)

T-SNE高维数据降维特征提取，用于python3(T-SNE demensinal,python)

说明：  遗传算法、禁忌搜索、模拟退火、蚁群算法 解决三十个城市的旅行商问题 人工智能课的一次作业，py写的，(Genetic algorithm, Tabu search, simulated annealing, Ant Colony algorithm to solve the traveling Salesman problem in 30 cities, an artificial intelligence class assignment, written by py,)

利用一维卷积神经网络将叶子进行分类，里面包含的有数据(Classification of leaves using one dimensional convolution neural network)

说明：  旨在系统介绍人工智能的基本原理、方法和技术，并反映国内外研究和应用的最新进展(The purpose of this paper is to systematically introduce the basic principles, methods and techniques of AI, and to reflect the latest research and application progress at home and abroad.)

神经网络，全连接层

卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)

说明：  语义相似度任务-LCQMC数据集下载。LCQMC 是哈尔滨工业大学在自然语言处理国际顶会 COLING2018 构建的问题语义匹配数据集，其目标是判断两个问题的语义是否相同。(Semantic similarity task - lcqmc dataset download. Lcqmc is a problem semantic matching data set constructed by Harbin Institute of technology in colling2018, the international summit of natural language processing. Its goal is to determine whether the semantics of the two problems are the same.)