Deep Learning

Understanding and using deep learning networks

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Gartner Magic Quadrant 1

Posted by Johanna Pingel,

This is a guest post from Paul Pilotte, technical marketing manager for data science and predictive analytics. Gartner recognizes MathWorks as a Visionary in its January 2019 Magic Quadrant for Data Science and Machine Learning Platforms Deep learning and AI are top of mind in many organizations we work with at MathWorks.... read more >>

Deep Learning Visualizations: CAM Visualization 2

Posted by Johanna Pingel,

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 visualizations of features learned by a neural network. Today, I’d like to write about another visualization you can do... read more >>

Neural Network Feature Visualization

Posted by Johanna Pingel,

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 networks. Today, we'll look at two ways to gain insight into a network using two methods: k-nearest neighbors and t-SNE, which... read more >>

“I didn’t know that” – ONNX 3

Posted by Johanna Pingel,

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 posts will be short and sweet.     Today's "I didn't know that" is about ONNX. Did you know that MATLAB now... read more >>

Sudoku Solver: Image Processing and Deep Learning

Posted by Johanna Pingel,

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 puzzle. Those red numbers in the puzzle have been automatically added to the paper by the algorithm we're... read more >>

Deep Beer Designer 2

Posted by Johanna Pingel,

This post is from Ieuan Evans, who has created a very unique example combining deep learning with LSTM and beer. (Please drink responsibly!) I love craft beer. Nowadays, there are so many choices that it can be overwhelming, which is a great problem to have! Lately I have found myself becoming... read more >>

3 Trends in Deep Learning 1

Posted by Johanna Pingel,

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 some larger trends we’re seeing in deep learning. You may have noticed we continue to add... read more >>

Deep Learning with MATLAB R2018b

Posted by Steve Eddins,

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 second of our two annual product line releases, shipped earlier this month. Several product development teams are... read more >>

Deep Learning in Action – part 3 1

Posted by Johanna Pingel,

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 projects created at MathWorks" This aims to give you insight into what we’re working on at MathWorks. Today’s demo is called... read more >>

These postings are the author's and don't necessarily represent the opinions of MathWorks.