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 application area.This was a great release for examples, and I guarantee there is something for everyone in this list. Check them out and let me know what you think.
Image Processing and Computer Vision Examples
* Remember when I did an article on Image-to-Image Regression
? This 2nd doc example is much easier to follow and uses new techniques in 19a.
Reinforcement Learning Examples
Reinforcement Learning is a brand-new toolbox to support deep learning for controls. This won’t be the last time you hear about this.
If you run the 3rd reinforcement learning example, you will get a cool walking robot. An in-depth video
will walk you through the example, including the problem setup, neural network design, and speeding up training.
Signal and Wavelet Examples
Radar and Comms Examples
Take a look at the relevant demos to you and let me know what you think. Also, I'm always curious: how often do you upgrade releases? How do you find out what's new? Leave a comment below.
Stay tuned for more posts about what's new in 19a!
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