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Title: 手写MNISTmatlab实现 Download
 Description: The data can be run directly. It is the source code of MATLAB. It realizes the recognition of MNIST data set, which is a common handwritten character in AI field. Generally, it is done by python. There are few matlab implementations, and even if there is one, it often reports an error. So here is the routine and data set! Data set is also the MNIST format that MATLAB can read directly! Download this data set without downloading it separately, saving time.
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File list (Check if you may need any files):
FilenameSizeDate
handwritten-digit-recognition-using-Naive-Bayes-classifier-master 0 2019-10-29
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\calculateProbabilityForGivenNumber.m 463 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\Data Mining Course - Naive Bayes Classification for MNIST Dataset.ps 17781 2018-09-26
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\generateBernoulliProbabilityMatrix.m 860 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\predictNumber.m 240 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\probMatrix.mat 30842 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\Readme_dataFormat.txt 3169 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\readMNIST.m 2470 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\recogChar.m 1438 2018-09-26
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\t10k-images.idx3-ubyte 7840016 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\t10k-labels.idx1-ubyte 10008 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\train-images.idx3-ubyte 47040016 2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\train-labels.idx1-ubyte 60008 2018-02-14

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