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 >>

Hi Everyone! Welcome to R2019a. A new version of MATLAB is available now! I'd like to walk through a few of the new deep learning examples. I categorized the new examples based on their... 더 읽어보기 >>

I’m hoping by now you’ve heard that MATLAB has great visualizations, which can be helpful in deep learning to help uncover what’s going on inside your neural network. Last post, we discussed... 더 읽어보기 >>

Visualization of the data and the semantic content learned by a network This post comes from Maria Duarte Rosa, who is going to talk about different ways to visualize features learned by... 더 읽어보기 >>

Today, I'd like to introduce a new series called: "I didn't know that!"   I'm hoping to highlight certain features about MATLAB and Deep Learning you may not be aware of! These... 더 읽어보기 >>

Today, let’s journey back to the "Best of 2018". I’ll highlight specific posts and features from 2018 that are worth a second... 더 읽어보기 >>

This post is from a talk given by Justin Pinkney at a recent MATLAB Expo. Today’s example will walk through using image processing and deep learning to automatically solve a Sudoku... 더 읽어보기 >>

And how MATLAB helps you take advantage of them. Last post*, Steve Eddins wrote about some of the new features in the latest release. Today, I’d like to talk about how these new features fit into... 더 읽어보기 >>

Note: This will be my last regular post for the Deep Learning blog. Johanna Pingel will be taking over for me. You have already read several great posts from her. Thanks, Johanna! R2018b, the... 더 읽어보기 >>

Hello Everyone! It's Johanna, and Steve has allowed me to take over the blog from time to time to talk about deep learning. I'm back for another episode of: "Deep Learning in Action: Cool... 더 읽어보기 >>