Handwritten English Character Recognition using CNN

Machine learning aims to extract hidden information that is present in the data using knowledge of current data on a certain subject. We can achieve machine learning and predict results for unknown data by using specific mathematical functions and concepts to uncover hidden information. Pattern identification is one of ML's primary applications. Large picture data sets are typically used to recognize patterns. An example of pattern recognition through an image is handwriting recognition. We may teach computers to interpret letters and numbers from any language that is contained in an image by employing such notions. Handwritten characters can be recognized using a variety of techniques. In this Project report, we will go over some of the techniques