GitHub repository: AdithyaYelloju/DigiRecogni
Primary language: Jupyter Notebook
Description: Handwritten Digit Recognition. ... MNIST is a widely used dataset for the hand-written digit classification task. It consists of 70,000 labeled 28x28 pixel grayscale images of hand-written digits. The dataset is split into 60,000 training images and 10,000 test images. There are 10 classes (one for each of the 10 digits).