MNIST (“Modified Nationwide Institute of Requirements and Technology”) is the de facto “hello world” dataset of personal computer eyesight. Considering the fact that its release in 1999, this classic dataset of handwritten visuals has served as the basis for benchmarking classification algorithms. As new machine finding out approaches emerge, MNIST remains a reliable resource for researchers and learners alike.
In this competition, your intention is to accurately recognize digits from a dataset of tens of 1000’s of handwritten visuals. We’ve curated a set of tutorial-design and style kernels which deal with anything from regression to neural networks. We motivate you to experiment with various algorithms to discover to start with-hand what operates perfectly and how approaches evaluate.
Submissions to this Challenge will have to be acquired by 8:59 a.m. EET, Dec. 23, 2021.