Originally published at: https://developer.nvidia.com/blog/grandmasters-series-learning-from-bengali-character-recognition-kaggle-challenge/
Handwritten character recognition is one of the most quintessential deep learning (DL) problems. One of the oldest and still widely used benchmark datasets for machine learning (ML) tasks is the MNIST dataset, which consists of 70,000 handwritten digits. MNIST was released in 1995. To this day, it is one of the best studied and understood…