What’s New R2019a: Examples
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.
Audio Examples
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!
| 3-D Brain Tumor Segmentation Using Deep Learning | Image-to-Image Regression* | Train a YOLO v2 Object Detector | Classify Video using Deep Learning | |||
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| Voice Activity Detection in Noise Using Deep Learning | Cocktail Party Source Separation Using Deep Learning Networks | Acoustic Scene Recognition Using Late Fusion | ||
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| Train a reinforcement learning agent to solve a grid world problem. | Train a controller to balance an inverted pendulum in MATLAB using reinforcement learning This has been described to me as "Reinforcement Learning 101", so if you're interested in this topic, start here. | Train a robot to walk in a straight-line using Simulink and reinforcement learning | ||
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Signal and Wavelet Examples
| Waveform segmentation using Deep Learning | Modulation Classification | Texture Classification with Wavelet Scattering | ||
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| Radar Target Classification using Machine and Deep Learning | Radar Waveform Classification Using Deep Learning | |
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- 类别:
- Deep Learning
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