Handwritten digit recognition model using Convolutional Neural Networks (CNNs) is a common and effective approach. In this project, we built a simple CNN model using Python and TensorFlow/Keras for recognizing handwritten digits from the MNIST dataset. The model is only capable of predicting a single digit in an image. For the given input image, the model can predict the handwritten digit in the image.
Requirements and Project setup details are given inside the project folder.






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