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recognize
- 用VC++6.0开发的一个手写字符识别系统，联机输入签名，可以识别数字，字母和汉字．-developed a handwriting character recognition system, on-line input signatures can identify numbers, letters and Chinese characters.
recog
- 一个用visual c++编写的模式识别程序，主要是针对手写数字进行识别-with a visual pattern recognition c prepared by the procedure is targeted mainly handwritten identification number
number-recongnition
- 关于手写数字的识别问题，利用多种模式识别方法，例如神经网络方法，贝叶斯方法等-handwritten figures on the identification of problems and a variety of pattern recognition methods, such as neural networks, Bayesian methods
usps
- usps手写字库，用于手写数字模式识别的训练-usps handwritten font, handwritten figures for pattern recognition training
onlineHandWrittingOCR
- 联机手写字符识别程序，属于数字图像模式识别技术及工程实践的随书代码-on-line handwriting character recognition process is digital image pattern recognition technology and engineering practice with the code book
shouxieshuzi
- 提供大家手写数字训练图片，对搞数字识别的同学很有用，赶快下载吧-we provide training Photo handwritten figures to engage in numerical identification of the students were useful and download it quickly
handprint_recognition
- 关于联机手写数字识别的C++源代码，可以对手写体数字库进行识别。-figures on the on-line handwriting recognition to the C source code, can figure on the handwritten identification.
lianjishouxieshuzishibie
- 联机字符识别主要用途是把文字输入计算机.本例为手写数字的识别!-online character recognition is the main purpose computer text input. The number of cases for handwriting recognition!
shouxieshuzishibiedeFisherpanbie
- 脱机字符识别需要建立手写样本库,但由于作者水平有限,就不介绍实例了.这是脱机字符识别中的手写数字识别的Fisher判别.-Offline Character Recognition need handwriting sample database, but because the author is limited, and not on the case. This is offline character recognition of handwritten numeral recognit
shouxieshuzishibiedeFisherxianxingpanbie
- 脱机字符识别需要建立手写样本库,但由于作者水平有限,就不介绍实例了.这是脱机字符识别中的手写数字识别的Fisher判别.-Offline Character Recognition need handwriting sample database, but because the author is limited, and not on the case. This is offline character recognition of handwritten numeral recognit
hw_num_ocr
- 联机手写数字简易识别系统源代码-on-line handwriting recognition system figures simple source code
Num_ocr_bp
- 手写数字字符识别的神经网络方法-Handwritten Character Recognition neural network
mnist
- 利用keras实现手写数字识别，使用CNN模型 全连接层+两个卷积层，最后Softmax分类器，识别率超过96%(Using keras to realize handwritten numeral recognition baesd on CNN model. One whole connection layer + two convolution layers, and a Softmax classifier. The recognition accuracy is over 96%
MNIST_CNN 代码及测试结果
- 只含一层卷积层的CNN也可以将手写数字识别的正确率达到99%(The CNN with only one convolutional layer can also get the correct rate of handwritten digit recognition up to 99%.)
input_data
- mnist数据集的导入文件，官网上有可能进不去(def maybe_download(filename, work_directory): """Download the data from Yann's website, unless it's already here.""")
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
张哲_017034910051_03
- 基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
MNIST数据集
- 手写数字识别数据集的训练集和测试集，关于BP神经网络(Handwritten digit recognition data set)
mnist手写数字识别
- 本代码运行良好，代码包括全连接网络和卷积网络，同时附有数据集，非常方便初学者使用。
深度学习基础
- 了解深度学习基本原理 掌握TensorFlow基本概念和应用 掌握tensorboard基本应用 掌握PaddlePaddle基本应用(Understand the fundamentals of deep learning Master the basic concept and application of tensorflow Master the basic application of tensorboard Master the basic application of