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code
- 基于贝叶斯分类器的minist数据集的识别-Recognition based on Bayesian classifier minist dataset
CNN-MINIST
- 利用卷积神经网络进行MINIST数据集的分类识别，MATLAB源程序。-Convolution neural network classification MNIST dataset, MATLAB source.
project-01-Bayes
- 利用直方图的方法以及贝叶斯分类MINIST数据集-Using the Bayesian classification MINIST data set
MINIST_CNN
- 使用卷积神经网络实现手写体识别，有train.m与test.m，里面附有数据集(use CNN to recognize the ministdataset)
knn
- 首先对minist数据集进行pca降维，然后对降维后的数据进行KNN分类(First, the Minist data set is reduced by PCA, and then the data of the reduced dimension is classified by KNN)
autoencoder
- 自编码的代码实现，运用在MNIST数据集上，打包文件。(auto encoder code implementation, using in MINIST data sets, packaging files.)
MNIST_data
- MNIST数据集是机器学习领域中非常经典的一个数据集，由60000个训练样本和10000个测试样本组成，每个样本都是一张28 * 28像素的灰度手写数字图片。(The MNIST data set is a very classic data set in the field of machine learning. It consists of 60,000 training samples and 10,000 test samples. Each sample is a 28 * 28 p