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ver_0.82
- 此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognize
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow framework, through the routine can master
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别，以卷积神经网络（CNN）作为网络模型，利用mnist手写数字训练数据集训练手写数字识别模型，搭建手写数字识别系统，并用自己手写的数字照片进行测试。