Or Learning in the time of Coronavirus After multiple online meetings and virtual conversations, I’ve learned there are many ways people are dealing with suddenly working from home. My unproven... 更多内容 >>

I'm pleased to publish another post from Barath Narayanan, University of Dayton Research Institute (UDRI), LinkedIn Profile. Co-author: Dr. Russell C. Hardie, University of Dayton... 更多内容 >>

Hello deep learning enthusiasts! My name is Sara Nadeau, and I am excited to be writing this guest blog post on behalf of the MathWorks Grace Hopper Celebration team! The Grace Hopper Celebration is... 更多内容 >>

Key terms in custom training loops In this post, I would like to go into detail on Loss, Model Gradients, and Automatic Differentiation This is Part 2 in a series of Advanced Deep... 更多内容 >>

Build any Deep Learning Network For the next few posts, I would like us all to step out of our comfort zone. I will be exploring and featuring more advanced deep learning topics. Release 19b... 更多内容 >>

This is a guest post from Paul Pilotte, technical marketing manager for AI, data science and deep learning. We’re pleased to have been named a "Leader" by Gartner this year, with the furthest... 更多内容 >>

Every January, our company hosts an annual “kickoff”: an opportunity for sales, marketing and folks in customer facing roles to meet in Boston and learn about all the new and exciting features coming... 更多内容 >>

Happy Holidays, and Happy (almost) New Year! This time of year, I like to look back and remember the things we accomplished in a year. I'll recap the main themes of the deep learning blog this year,... 更多内容 >>

This is a post from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU, and of course [MathWorks blog] famous for his post on image augmentation. He's back to talk about scene... 更多内容 >>

This post is from Barath Narayanan, University of Dayton Research Institute. Dr. Barath Narayanan graduated with MS and Ph.D. degree in Electrical Engineering from the University of Dayton... 更多内容 >>