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用神经网络,实现手写数字0-9的识别,对于相似度小的拒绝识别-Using neural networks, implementation figure 0-9 handwriting recognition, the similarity of small refuse recognition
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matlab代码实现手写体数字的识别,测试可用,识别率较高-matlab code for handwritten numeral recognition, the test is available, the recognition rate is higher
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基于matlab的深度学习工具箱,该工具箱内包含一个基于手写识别的cnn模型,注释清晰。-Based on the depth of learning matlab toolbox, the toolbox contains within a model based on handwriting recognition cnn, clear notes.
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使用MATLAB实现bp神经网络实现手写数字图片识别-Use bp neural network handwriting recognition digital pictures
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对于自己手写的数字进行识别,效果比较不错,准确率在八成以上(recognition of handwriting numbers, with very good testing results, can successfully recognize 80 percent)
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MNIST手写体识别,编程语言为matlab(MNIST handwriting recognition)
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