Grandmasters Series: Learning from the Bengali Character Recognition Kaggle Challenge – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-06T02:18:37Z http://www.open-lab.net/blog/feed/ Bojan Tunguz <![CDATA[Grandmasters Series: Learning from the Bengali Character Recognition Kaggle Challenge]]> http://www.open-lab.net/blog/?p=22422 2022-08-21T23:40:48Z 2020-12-03T19:27:41Z Handwritten character recognition is one of the most quintessential deep learning (DL) problems. One of the oldest and still widely used benchmark datasets for...]]> Handwritten character recognition is one of the most quintessential deep learning (DL) problems. One of the oldest and still widely used benchmark datasets for...

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 ML problems. In 1998, Yan LeCunn and his team��

Source

]]> 0 ���˳���97caoporen����