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Implementation of Text Classifier in C++. This project focuses on implementing each stages of a text based classifier i.e. from preparing data (including tokenization, padding and creating embedded Matrix), and feed that to a MLP to see how it performance.
Implementation of a simple artificial neural network in the form of a perceptron, which can be trained on an open dataset and perform recognition of 26 handwritten letters of the Latin alphabet.