现在将博客 https://blog.csdn.net/weixin_39249915/article/details/82686141 的数据集代码上传！！！！

asp.net 利用webservice，dataset创建火车票查询系统 asp.net 利用webservice，dataset创建火车票查询系统

原版的Yale人脸库（格式转换了一下），15个人，每人11张图片，灰度，png格式，100x100，有表情、光照和眼镜变化，已剪裁和对齐

The CAS-PEAL face database has been constructed under the sponsors of National Hi-Tech Program and ISVISION by the Face Recognition Group of JDL, ICT, CAS. The goals to create the PEAL face database include: providing the worldwide researchers of FR community a large-scale Chinese face database for training and evaluating their algorithms; facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are setup to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds accessories (3 glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, contain 30,900 images of 1040 subjects) for research purpose only on a case-by-case basis only. JDL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database.

keras的数据集 from keras.datasets import imdb (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=20000)

cifar10-Python的数据集，官网上有，但是下载速度很慢，Python类型的。需要解压之后就成为了官网上一样的数据集了。同时我的另一个资源提供了cifar-10-binary版的下载

VB.net中DataSet和JSON形式的数据相互转换的代码，可以拿来直接说用

Mining of Massive Dataset的中文版

DataSet 或 DataTable 导出到 Excel

这个是深度神经网络的工具类和数据集，里面包括：dnn_utils_v2_lr_utils_dataset