Search - mnist recognition

Search - mnist recognition - List

[Graph Recognize] Demo-Mnist DL : 0: 基于神经网络的手写数字识别的源代码，绝对能够正常编译并运行！-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run!
Update : 2008-10-13 Size : 203.02kb Publisher : 田巾
[Graph Recognize] Demo-Mnist DL : 0: 基于神经网络的手写数字识别的源代码，绝对能够正常编译并运行！-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run!
Update : 2025-02-17 Size : 203kb Publisher : 田巾
[Graph Recognize] kNN DL : 0: 针对MNIST数据库，但修改方便，可用于其他数字识别-For MNIST database, but modified to facilitate, can be used for other digital identification
Update : 2025-02-17 Size : 435kb Publisher : 黄健
[AI-NN-PR] Demo-Mnist DL : 0: 基于神经网络的手写体识别程序，可能对感兴趣的朋友有所帮助-Based on neural network handwriting recognition program may be helpful to interested friends
Update : 2025-02-17 Size : 203kb Publisher : zhu
[AI-NN-PR] 123214324325325435 DL : 0: 利用神经网络算法识别手写体文字的工程，工程的例子图像为MNIST DATABASE数据库中的图像-Use of neural network algorithm handwritten text recognition works, examples of images in the database image MNIST DATABASE
Update : 2025-02-17 Size : 185kb Publisher : haoyubao
[AI-NN-PR] MNIST-handwritten-digits DL : 0: 手写数字识别数据集，MNIST，包括原始数据集的所有样本，以及抽取的2000个样本的子集，.mat格式。美国著名数据集NIST的子集，模式识别常用实验数据集-handwritten digits recognition ,dataset, MNIST from NIST, .mat file,
Update : 2025-02-17 Size : 10.2mb Publisher : 陈静
[matlab] MNIST DL : 0: 这个压缩包，是一个手写数字识别库，世界上最权威的，美国邮政系统开发的，可以作为标准的数据集合使用测试分类器-This compression package, is a handwritten numeral recognition , the world' s most authoritative, the U.S. postal system developed can be used as a standard data set using the test classifier
Update : 2025-02-17 Size : 10.17mb Publisher : hanshuai
[Graph Recognize] CNNfor-handwriting-Mnist DL : 0: 能够实现对手写字符的识别，是一个简单的系统，功能齐全-To achieve recognition of handwritten characters, it is a simple system, fully functional
Update : 2025-02-17 Size : 1.61mb Publisher : 凯歌
[AI-NN-PR] MNIST(tensorflow) DL : 0: 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
Update : 2025-02-17 Size : 2kb Publisher : 都飞翔
[AI-NN-PR] tensorflow-cnn DL : 0: 基于TensorFlow的mnist数据集识别，使用CNN的方法，采用梯度下降学习(MNIST data set recognition based on TensorFlow, using CNN method, using gradient descent learning)
Update : 2025-02-17 Size : 12kb Publisher : 嘻嘻嘻哈哈
[Other] lenet_iter_10000 DL : 0: caffe-windows mnist 训得到的模型，可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
Update : 2025-02-17 Size : 1.52mb Publisher : 章洁
[Other] MNIST DL : 0: MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwritten digital recognition is one of the application of pattern recognition. This paper introduces some of the main features of handwritten numbers and presents the truncation characteristics and uses the number of truncated features to experiment)
Update : 2025-02-17 Size : 11.06mb Publisher : Ashley-d
[Windows Develop] BP_mnist DL : 0: BP网络实现手写字体识别。压缩文件包含mnist数据集，直接在pycharm运行BPNetwork.py文件，输出测试集识别结果和测试精度。(Handwritten recognition based on BP network. The compressed file contains the MNIST data set, runs the BPNetwork.py file directly in the pycharm, outputs the test set, identifies the results, and tests the accuracy.)
Update : 2025-02-17 Size : 21.84mb Publisher : 小玲子
[Other] cnn_mnist DL : 0: CNN神经网络实现手写字体识别。压缩文件包含mnist数据集与说明文档，直接在pycharm运行cnn_mnist.py，输出测试集识别精度和识别结果。(CNN neural network for handwritten font recognition. The compressed file contains the MNIST data set and the documentation, running cnn_mnist.py directly in the pycharm, outputting the test set, identifying the accuracy, and identifying the results.)
Update : 2025-02-17 Size : 11.08mb Publisher : 小玲子
[AI-NN-PR] test DL : 0: tensorflow测试计算mnist识别准确率以及计算时间(tensorflow test Calculate the MNIST recognition accuracy and calculation time)
Update : 2025-02-17 Size : 1kb Publisher : 无恒者
[Other] MNIST DL : 0: 简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
Update : 2025-02-17 Size : 11.06mb Publisher : 战斗到天亮
[Mathimatics-Numerical algorithms] mnist1 DL : 0: 训练手写数字识别算法，正确率达到91.6%(Training handwritten numeral recognition)
Update : 2025-02-17 Size : 2kb Publisher : 姗施
[AI-NN-PR] 神经网络mnist DL : 0: 利用神经网络对手写识别系统进行分类，正确率高达92%。(Using neural network to classify handwritten recognition system, the correct rate is as high as 92%.)
Update : 2025-02-17 Size : 5kb Publisher : 青衣可儿
[Other] mnist DL : 0: 深度学习时间手写数字识别，使用python和tensorflow实现(Handwritten numerals recognition in depth learning time)
Update : 2025-02-17 Size : 2kb Publisher : suswzh
[AI-NN-PR] Handwritten_numeric_recognition DL : 0: 基于keras深度学习框架的手写数字字符识别(Handwritten numeric character recognition based on keras depth learning framework)
Update : 2025-02-17 Size : 5kb Publisher : ss187

« 12 3 »