6 Twitter accounts and 6 blogs to keep you current I find it hard sometimes to keep up with the latest deep learning trends, so I made a list of blogs and people to follow. Hopefully you find this... 더 읽어보기 >>

​ We have a very special post today from Jakob Kather from Heidelberg, Germany (Twitter: jnkath). He will be talking about deep learning for medical applications. Jakob is also one of the... 더 읽어보기 >>

I’m pleased to be writing about a new exhibition at the Science Museum, London, featuring MATLAB for deep learning as it applies in autonomous vehicles. The exhibition named “Driverless: Who is in... 더 읽어보기 >>

MathWorks Named a May 2019 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms We’re excited to announce that MathWorks has been recognized as a May... 더 읽어보기 >>

Early in June, I was fortunate to be invited to MathWorks Research Summit for a deep learning discussion, led by Heather Gorr (https://github.com/hgorr) on “Explainable AI” with a diverse group... 더 읽어보기 >>

Combining Deep Learning networks to increase prediction accuracy. The following post is from Maria Duarte Rosa, who wrote a great post on neural network feature visualization, talking about ways... 더 읽어보기 >>

I’d like to introduce Frantz Bouchereau, development manager for Signal Processing Toolbox who is going to dive deep into insights on deep learning for signal processing, including the complete deep... 더 읽어보기 >>

Did you know: you can run MATLAB with GPUs in the cloud? MATLAB has a deep learning container on NGC! Let’s define what this... 더 읽어보기 >>

  I want to take a minute to highlight one of the apps of Deep Learning Toolbox: Deep Network Designer. This app can be useful for more than just building a network from scratch,... 더 읽어보기 >>

Welcome again to R2019a! There’s a new release of MATLAB out right now. Last post, we covered a bunch of new 19a examples, and today's post will dive into the specifics of new deep learning features.... 더 읽어보기 >>