Best of 2018 – Deep Learning Edition
- The research is still leaning in that direction and
- It’s really interesting
- This is the one link you should bookmark today: https://www.mathworks.com/help/deeplearning/examples.html This gets updated with every release, and provides a great list of examples for all application areas.
Deep learning examples in the doc
- An interesting article in the 2018 “News and Notes” publication contained an article highlighting deep learning for signal, image and text.
A sample page of "News and Notes" featuring deep learningThere are even more resources on "deep learning for..." in the following sections. Videos It was a great year for the creation of webinars and videos:
- Gabriel and I did a 30 minute video on Image Processing and Computer Vision, which of course has deep learning in it! This is a great intro for anyone just getting started.
- I created a “What is Computer Vision” video, that just went live recently, (special thanks to our video team!) This is for the beginner crowd interested in computer vision, so this may not be as relevant to this group!
- Along the same line, there's a new What is Machine Learning video, created by Loren Shure. This is a quick and thorough look at Machine Learning that's great for the beginner crowd, or anyone that hears terms like 'Machine Learning' and 'Deep Learning' and wants to learn more.
- A new webinar is available for deep learning for signal data called: "Deep Learning for Signals and Sound"
- A new webinar is available for Text Analytics.
|Image Processing and Computer Vision||Computer Vision Video||Signals and Sound Webinar||Text Analytics Webinar|
- Cheat Sheets: Here is a one page reference (casually known as a "Deep Learning Cheat Sheet"):
It's nice to have the relevant deep learning functions printed and posted to your office wall.Deep Learning is not the only cheat sheet available. A successful Machine Learning Cheat Sheet is also available for you to use. Here are 5 cheat sheets you may find useful: (The images are links to the PDFs)
|Deep Learning||Machine Learning||Time Series Preprocessing ↓ ↓||Live Editor||Import / Export Data|
|↑ I strongly recommend this one!|
- Solutions page updates: We’re continuously updating our content on the web: We have a new look to our IPCV solutions page and our Deep learning solutions page. There are links to new content on both of these pages.
- One final thing to mention is a new approach to examples, making them more interactive. We released a Deep Learning Browser Example, which allows you to try out a simple example to experience what deep learning with MATLAB would look like. This is great for beginners and people who don't have access to MATLAB yet (no license required to try this example). Tell your friends!
- For R2018a, one of the highlight features was the Deep Learning Network Analyzer which Steve blogged about here: https://blogs.mathworks.com/deep-learning/2018/04/30/deep-learning-network-analyzer/,
- Although Network Analyzer was released in R2018a, it’s worth noting that this feature is now part of the Deep Network Designer App. You can now import networks into the app, and use the network analyzer to check the connections.
- Steve wrote a relevant post for more R2018a highlights here.
- In R2018b, we decided to try something different and used a video approach instead. Gabriel did an excellent job highlighting the important features of 18b, along with some of the key features from recent releases. You can find the video on the solutions page, or this link directly to the video. Please be aware this video plays automatically, which made me jump out of my seat with my speaker up too loudly!
Final ThoughtsAs we head into the new year, I like to take stock of what went well during the past year and what we can do better. My goal for the new year is to increase the frequency of posts and start posting shorter content as it becomes available. I’m looking for suggestions on what you’d like to see more and/or less of. Also, do you agree with my top 4 list? Anything else I should have mentioned? Leave a comment below!
Happy Holidays and see you in 2019!!
MathWorks is ready for the holidays!
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