Artificial Intelligence

Apply machine learning and deep learning

Posts 1 - 10 of 141

Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models

In R2024a, Computer Vision Toolbox introduced the d-rise function. D-RISE is an explainability tool that helps you visualize and understand  which parts are important for object detection. If you... read more >>

Building Confidence in AI with Constrained Deep Learning

Constrained deep learning is an advanced approach to training robust deep neural networks by incorporating constraints into the learning process. These constraints can be based on physical laws,... read more >>

Data Type Conversion Between MATLAB and Python: What’s New in R2024a 2

When combining MATLAB with Python® to create deep learning workflows, data type conversion between the two frameworks can be time consuming and sometimes perplexing. I 've certainly experimented... read more >>

Verification and Validation for AI: From model implementation to requirements validation 1

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post of our Verification and Validation for AI post series. Check out our... read more >>

Convert Deep Learning Models between PyTorch, TensorFlow, and MATLAB 3

In this blog post we are going to show you how to use the newest MATLAB functions to: Import models from TensorFlow and PyTorch into MATLAB Export models from MATLAB to TensorFlow and... read more >>

Tips on Accelerating Deep Learning Training

Deep learning models are trained by using large sets of labeled data. Training a deep learning model can be time-consuming; it can take from hours to days. In this blog post, we will provide a few... read more >>

Deep Learning Toolbox R2024a: Major Update and New Examples 2

On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep learning help engineers create and use explainable, robust, and scalable deep... read more >>

Incremental Learning: Adaptive and real-time machine learning

  Incremental learning is a machine learning approach that addresses the challenge of adaptively fitting models to new incoming data. The incremental learning approach is particularly... read more >>

Data-Driven Control with MATLAB and Simulink

The following blog post is from Melda Ulusoy, Technical Marketing Manager at MathWorks. One of artificial intelligence (AI)’s first big successes was solving image classification problems with... read more >>

Verification and Validation for AI: Learning process verification

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the third post in a 4-post series on Verification and Validation (V&V) for AI. The series... read more >>

Posts 1 - 10 of 141

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