利用mxnet构建cnn，对cifar-10 图片进行分类识别(Using mxnet to construct CNN for classification and recognition of cifar-10 pictures)

使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)

以python语言为基础，利用tensorflow机器学习架构，两层卷积神经网络实现，CiFar数据集图片分类功能。(Based on Python language, using tensorflow machine learning architecture, two-layer convolutional neural network, CiFar data set image classification function.)

经典数据集分类,利用卷积神经网络分类，利用python语言编写(classic picture classification)