MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike.
In this competition, we had to correctly identify digits from a dataset of tens of thousands of handwritten images. The platform we used for programming is Google Colab, and we built CNN model to achieve high accuracy of the classification of testing dataset.