机器学习入门：手写数字识别，声呐分类，垃圾短信识别，鸢尾花分类 机器学习入门：手写数字识别，声呐分类，垃圾短信识别，鸢尾花分类 本系列代码是大多数初学者刚刚接触机器学习时会运行的代码，这些代码结构简单，原理清晰，易于实现。 项目均由jupyter notebook编写，适合分步骤运行，帮助理解每一步的功能。

Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences. In this paper, we exploit the outstanding capability of path signature to translate online pen-tip trajectories into informative signature feature maps using a sliding window-based method, successfully capturing the analytic and geometric properties of pen strokes with strong local invariance and robustness. A multi-spatial-context fully convolutional recurrent network (MC-FCRN) is proposed to exploit the multiple spatial contexts from the signature feature maps and generate a prediction sequence while completely avoiding the difficult segmentation problem. Furthermore, an implicit language model is developed to make predictions based on semantic context within a predicting feature sequence, providing a new perspective for incorporating lexicon constraints and prior knowledge about a certain language in the recognition procedure. Experiments on two standard benchmarks, Dataset-CASIA and Dataset-ICDAR, yielded outstanding results, with correct rates of 97.10% and 97.15%, respectively, which are significantly better than the best result reported thus far in the literature.

SpringBoot手写爬虫获取国家统计局行政区划数据实战

手写ox识别训练集+测试集手写ox识别训练集+测试集手写ox识别训练集+测试集

对Python神经网络编程中的demo进行练习，简单的三层神经网络，是Python神经网络编程学习入门的很好的体验。

matlab手写汉字，字符，数字，字母识别，神经网络bp

Windows Ebedded CE6.0 SP1.msi 是用作Windows Ebedded CE6.0 SP1.msi的补丁之用

Boosting 方法的主要⽬标是将弱分类器“提升” 为强分类器，根据前⼀个弱分类器的训练效果对样本分布进行调整，再根据新的样本分布训练下⼀个弱分类器，如此迭代，最后将⼀系列弱分类器组合成⼀个强分类器。 XGBoost是boosting算法的其中一种。Boosting算法的思想是将许多弱分类器集成在一起形成一个强分类器。因为XGBoost是一种提升树模型，所以它是将许多树模型集成在一起，形成一个很强的分类器。 手写xgboost算法，几乎实现xgboost的所有算法，之中有与xgboost库进行比较xgboos的性能和方法，结果是差不多的，达到了预期的要求，简单的数据集也放在了上面。 并且这之中包括详细的注释，也包括了很多有关于xgboost的原理，是我手写xgboost算法之中做的一些记录和笔记，这里面也有对数据集的种种可视化，数据集也在文件里面。

高漫，photoshop

基于matlab和神经网络的手写字母识别