MNIST stands for Mixed National Institute of Standards and Technology, which has produced a handwritten digits dataset. This is one of the most researched datasets in machine learning, and is used to classify handwritten digits. This dataset is helpful for predictive analytics because of its sheer size, allowing deep learning to work its magic efficiently. This dataset contains 60,000 training images and 10,000 testing images, formatted as 28 x 28 pixel monochrome images. The following screenshot shows the images contained in this dataset:
In the preceding screenshot, we can see that, for every handwritten ...
