Handwriting is the most basic form of human expression. Humans have created many different writing system, but digits are the most basic writing system understood by everyone. This project aims at learning and implementing of a basic artificial intelligence that will learn to recognize handwritten digits. Handwriting recognition is one of those problems that will help to understand the basic concepts and create a foundation for neural networks. Using the standard MNSIT dataset of handwritten digits and develop a system which will learn from those training examples. This dataset is a standard dataset for handwriting recognition.
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