Description: 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! Platform: |
Size: 207895 |
Author:田巾 |
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Description: 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! Platform: |
Size: 207872 |
Author:田巾 |
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Description: 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 Platform: |
Size: 445440 |
Author:黄健 |
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Description: 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 Platform: |
Size: 207872 |
Author:zhu |
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Description: 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 Platform: |
Size: 10662912 |
Author:hanshuai |
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Description: 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) Platform: |
Size: 12288 |
Author:嘻嘻嘻哈哈
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Description: 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) Platform: |
Size: 1598464 |
Author:章洁
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Description: 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) Platform: |
Size: 11601920 |
Author:Ashley-d
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Description: 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.) Platform: |
Size: 22905856 |
Author:小玲子
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Description: 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.) Platform: |
Size: 11614208 |
Author:小玲子
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Description: 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) Platform: |
Size: 11599872 |
Author:战斗到天亮
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Description: 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%.) Platform: |
Size: 5120 |
Author:青衣可儿
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Description: 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) Platform: |
Size: 5120 |
Author:ss187
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