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Handwritten_digit_classification

  • Category : AI-NN-PR
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  • Update : 2018-01-28
  • Size : 166kb
  • Downloaded :0次
  • Author :hzy****
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
The training data were trained by the gradient method and Newton method, and the training models of 3 and 5 numbers were obtained. The test set was judged and the training error rate was obtained.
Packet file list
(Preview for download)
FilenameSizeUpdate
hw5 0 2017-11-06
hw5\.DS_Store 6148 2017-11-06
__MACOSX 0 2018-01-27
__MACOSX\hw5 0 2018-01-27
__MACOSX\hw5\._.DS_Store 120 2017-11-06
hw5\error_rate1.png 26864 2017-11-06
__MACOSX\hw5\._error_rate1.png 277 2017-11-06
hw5\Untitled.ipynb 45257 2017-11-06
hw5\error_rate2.png 39948 2017-11-06
__MACOSX\hw5\._error_rate2.png 277 2017-11-06
hw5\Handwritten_digit_classification.py 4777 2017-11-06
__MACOSX\hw5\._Handwritten_digit_classification.py 266 2017-11-06
hw5\log_likelihood1.png 29788 2017-11-06
__MACOSX\hw5\._log_likelihood1.png 277 2017-11-06
hw5\log_likelihood2.png 26762 2017-11-06
__MACOSX\hw5\._log_likelihood2.png 277 2017-11-06
hw5\2505_5.py 3066 2017-11-06
__MACOSX\hw5\._2505_5.py 322 2017-11-06
hw5\.ipynb_checkpoints 0 2017-11-06
hw5\.ipynb_checkpoints\Untitled-checkpoint.ipynb 26580 2017-11-06
hw5\hw5_train5.txt 90300 2017-11-04
__MACOSX\hw5\._hw5_train5.txt 276 2017-11-04
hw5\hw5_test3.txt 51600 2017-11-04
__MACOSX\hw5\._hw5_test3.txt 276 2017-11-04
hw5\hw5_train3.txt 90300 2017-11-04
__MACOSX\hw5\._hw5_train3.txt 276 2017-11-04
hw5\hw5_test5.txt 51600 2017-11-04
__MACOSX\hw5\._hw5_test5.txt 276 2017-11-04
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