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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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,... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

The following post is from Neha Goel, Champion of student competitions and online data science competitions. She's here to promote a new Deep Learning challenge available to everyone. If you win, you... 더 읽어보기 >>

Not to be outdone by Heather with her latest features in MATLAB post, Shounak Mitra, Product Manager for Deep Learning Toolbox, offered to post about new deep learning examples. Enjoy! There are... 더 읽어보기 >>