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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
CNNmatlab
- cnn卷积神经网络用于手写数字识别，cnet_tool是一个demo-cnn convolution neural network for handwriting recognition, cnet_tool is a demo
MYCNN
- 基于CNN的手写文本识别，卷积神经网络模型，并受到深度学习中预训练方式的启发，提出一种类别累加的训练方式，采用这种类别累加方式进行卷积神经网络模型的训练-Handwritten text recognition based on CNN neural network model, convolution, and inspired by the pre training in depth study, put forward a kind of category cumulative train
CNN
- 手写数字识别 lenet 5 CNN的代码，对于初学机器学习者非常有帮助,可以运行。-Handwritten numeral recognition lenet 5 CNN code, for beginners machine learners very helpful, you can run.
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
CNN-LeNet5
- CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)
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。