搜索资源列表
2_tf_mnist
- tensorflow,简单神经网络识别手写字符(Recognition of handwritten characters by neural network)
代码
- 手写数字识别,使用神经网络进行minist库的手写数字识别(Minist,I don't want to say,you can see Chinese introduction)
xxuffei-BPWangLuo-ShuZiShiBie-master
- 使用神经网络算法算法进行手写数字的识别功能(Recognition of handwritten numbers using support Vector Machine)
Simple-Handwritten-Numerel-Recogntion-master
- 使用SVM算法进行数字图像识别,使用的是手写数字的训练(The use of SVM algorithm for digital image recognition is the training of handwritten numerals)
ccatx
- 介绍一种新颖的联机手写英文识别解码算法,采用主笔画层次建立Beam Viterbi算法,()
卷积神经网络 - 副本
- 对LeNet-5的matlab实现,识别MINST手写数字集,压缩文件包含程序文件和训练、测试图片文件,程序可直接运行(版本matlab R2008a)(For the matlab implementation of LeNet-5, the MINST handwritten numeric set is identified. The uploaded file contains the program file and the training and test file. The pr
5-4 tensorboard visualization
- tensorflow手写数字识别学习,根据样本进行计算(learn TensorFlow with mnist)
figure_recognition
- 基于python3的利用神经网络进行的手写数字识别程序。(A handwritten numeric recognition program based on python3 based on Neural Network.)
stacking
- kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
neural-networks
- 神经网络和深度学习的代码 ,内含有一个mnist手写字识别的源码(Code for neural networks and deep learning, containing source code identified by a MNIST handwritten word)
mnist.pkl
- mnist数据集,用于手写数字识别的数据集,机器学习入门必备(mnist data,original data in http://yann.lecun.com/exdb/mnist/)
mnist
- 手写数字识别。通过各种数字图片进行机器识别,属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
纯C-CNN
- 纯C深度学习库,里面包含MNIST手写数字识别数据集,编译就能训练和预测(Pure C depth learning library, which contains MNIST handwritten digital recognition data sets, compiling can be trained and predicted.)
63267975multipath_doppler
- 如果输出为“0”(即结果错误),则把网络连接权值朝着减小综合输入加权值的方向调整,其目的在于使网络下次再遇到“A”模式输入时,减小犯同样错误的可能性。如此操作调整,当给网络轮番输入若干个手写字母“A”、“B”后,经过网络按以上学习方法进行若干次学习后,网络判断的正确率将大大提高。这说明网络对这两个模式的学习已经获得了成功,它已将这两个模式分布地记忆在网络的各个连接权值上。当网络再次遇到其中任何一个模式时,能够作出迅速、准确的判断和识别。一般说来,网络中所含的神经元个数越多,则它能记忆、识别的模式
cnn
- matlab卷积神经网络cnn,用于手写字体识别或者其他都可以(matlab cnn For handwritten font recognition or anything else)
chapter19
- 在MATLAB平台上的基于svm的手写数字体识别(Handwritten numeral recognition based on svm)
python-dbn-master
- 运用python语言,基于dbn的手写数字体识别(Handwritten numeral recognition based on dbn using python language)
LeapMotion体感PPT控制器
- LeapMotion体感PPT控制器 Leap Motion概述 Leap Motion系统可以检测并跟踪手、手指和类似手指的工具。这个器件可以在高精确度和高跟踪帧率下工作。 Leap Motion软件分析在器件可视范围内的物体。它识别手、手指和工具,可以实时获(Leap Motion overview The Leap Motion system can detect and track the hands, fingers and tools similar to the
neural_network.tar
- 用于识别手写的0~9,10个数字,使用的工具是matlab(used to identify handwritten number 0~9 ,ten digits)
meehod-datagram-exception
- 联机数字手写识别,模式识别中很基础的程序,也是基于点轨迹的识别()