Well folks, we made it. Before we leave 2020 behind for good, I would like to take a moment and recognize some of the most popular posts and new materials created this year. Most Popular Posts of... 更多内容 >>

Guest Blog by: Peetak Mitra, Dr. Majid Haghshenas and Prof. David P. Schmidt The following is an accepted paper at the Neural Information Processing Systems (NeurIPS) Machine Learning for... 更多内容 >>

Post by Shounak Mitra, Product Manager – Deep Learning and AI We are very close to the start of the biggest AI conference of the year! Last year when I left Vancouver after attending NeurIPS 2019,... 更多内容 >>

This post is another from Ieuan Evans, who brought us Deep Beer Designer, back today to talk about wine! It's a longer post than usual, but packed with useful information for Deep Learning for Text.... 更多内容 >>

There are over 35 new deep learning related examples in the latest release. That’s a lot to cover, and the release notes can get a bit dry, so I brought in reinforcements. I asked members of the... 更多内容 >>

This post is from Laura Martinez Molera, Product Marketing Manager for Machine Learning and Data Science, here to discuss Machine Learning latest features.  We have just launched the 2nd release... 更多内容 >>

The following is a guest post from Mohammad Muquit here to discuss implementing multi-order modeling to improve accuracy of deep learning models. In typical classification problems, deep neural... 更多内容 >>

Post by Dr. Barath Narayanan, University of Dayton Research Institute (UDRI) with co-authors: Dr. Russell C. Hardie, University of Dayton (UD), Manawduge Supun De Silva, UD, and Nathaniel K.... 更多内容 >>

MathWorks Named a 2020 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms We’re excited to announce that MathWorks has been recognized as a Customers’... 更多内容 >>

Developed in Collaboration with NVIDIA Deep Learning Institute MathWorks is pleased to announce a new course that has been developed in collaboration with NVIDIA Deep Learning Institute... 更多内容 >>