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The aim of the project was to detect and classify numbers(hand-written digits). It is build using keras as framework for building an artificial neural network to classify it and opencv to detect the numbers
A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are.
Prompting and TEMP FIX of logical problems of R in converting numeric single nonzero characters KOREAN PRONOUNCIATION Reseo 100000 isang-ui susjaimyeonseo maen apjaliman 0 i anin susjaleul as characterna paste0lo munjahyeong-eulo byeonhwanhal ttae 1 e 0 6 hyeongtaelo byeonhwan gyeolgwaga naoneun jeug yesanghaji moshan gyeolgwaga naoneun munjeleu…