Artificial Intelligence

Apply machine learning and deep learning

Apply AI with New R2024b Examples

In my last post, I talked about new AI features introduced with MATLAB R2024b - the latest release, which is now available to you. In this blog post, I am going to present a few new and exciting examples on AI workflows, AI areas (computer vision and natural language processing), and AI applications.
To find more new AI examples, see the Deep Learning Toolbox release notes for application examples. Did you find the right example that helps you apply AI? Is there an example you would like to see but doesn't exist? Comment below!
 

AI Workflows

Compression AI with Simulink Performance
Reduce Memory Footprint of Deep Neural Networks Export Quantized Networks to Simulink and Generate Code Profile Your Deep Learning Code to Improve Performance
End-to-End Workflow
Battery State Estimation Using Deep Learning
 

AI Branches

Computer Vision Natural Language Processing
Automatically Label Ground Truth Using Segment Anything Model (SAM) Out-of-Distribution Detection for BERT Document Classifier
Detect Small Objects Using Tiled Training of YOLOX Network Retrieval Augmented Generation Using ChatGPT and MATLAB (GitHub)
For natural language processing (NLP), check out the Large Language Models (LLMs) with MATLAB repository, which also provides examples with LLMs. In a previous blog post, we described some of the NLP tasks you can tackle by using the code in the repository. This blog post focused on accessing local LLMs.
 

AI Applications

 
AI for Signal Processing AI for Wireless Communications
Machine Learning and Deep Learning Classification Using Signal Feature Extraction Objects Compare Residual Recurrent Neural Network Structures for Digital Predistortion Design
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