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Fix some typos
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@@ -54,7 +54,7 @@ print( accuracy )
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@endcode
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So our basic OCR app is ready. This particular example gave me an accuracy of 91%. One option
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improve accuracy is to add more data for training, especially the wrong ones. So instead of finding
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this training data everytime I start application, I better save it, so that next time, I directly
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this training data every time I start application, I better save it, so that next time, I directly
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read this data from a file and start classification. You can do it with the help of some Numpy
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functions like np.savetxt, np.savez, np.load etc. Please check their docs for more details.
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@code{.py}
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