Deep Learning

Understanding and using deep learning networks

3 Trends in Deep Learning 1

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... read more >>

Deep Learning with MATLAB R2018b

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... read more >>

Classify ECG Signals Using LSTM Networks 11

Today I want to highlight a signal processing application of deep learning. This example, which is from the Signal Processing Toolbox documentation, shows how to classify heartbeat... read more >>

Semantic Segmentation Using Deep Learning

Today I want to show you a documentation example that shows how to train a semantic segmentation network using deep learning and the Computer Vision System Toolbox. A semantic segmentation... read more >>

Exporting to ONNX 1

The MathWorks Neural Network Toolbox Team has just posted a new tool to the MATLAB Central File Exchange: the Neural Network Toolbox Converter for ONNX Model Format. ONNX, or Open Neural... read more >>

Deep Learning Network Analyzer

Earlier this month, the Neural Network Toolbox team submitted a new Deep Learning Network Analyzer tool to the File Exchange. (Note: it requires the R2018a release.) This very useful tool helps you... read more >>

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