Artificial Intelligence

Apply machine learning and deep learning

Posts 61 - 70 of 130

Results for: Deep Learning

Five AI Trends for 2021

It’s that time of year again, when many people look forward to a new year and new trends! At MathWorks, we put a lot of energy and focus on trends for AI to inform product direction that influences... read more >>

Deep Learning Visualizations

Evaluating deep learning model performance can be done a variety of ways. A confusion matrix answers some questions about the model performance, but not all. How do we know that the model is... read more >>

Best of 2020

Well folks, we made it. Before we leave 2020 behind for good, I would like to take a moment and recognize some of the most popular posts and new materials created this year. Most Popular Posts of... read more >>

Using Deep Learning for Complex Physical Processes 1

Guest Blog by: Peetak Mitra, Dr. Majid Haghshenas and Prof. David P. Schmidt The following is an accepted paper at the Neural Information Processing Systems (NeurIPS) Machine Learning for... read more >>

MathWorks at NeurIPS 2020

Post by Shounak Mitra, Product Manager – Deep Learning and AI We are very close to the start of the biggest AI conference of the year! Last year when I left Vancouver after attending NeurIPS 2019,... read more >>

Deep Wine Designer

This post is another from Ieuan Evans, who brought us Deep Beer Designer, back today to talk about wine! It's a longer post than usual, but packed with useful information for Deep Learning for Text.... read more >>

New Deep Learning Examples

There are over 35 new deep learning related examples in the latest release. That’s a lot to cover, and the release notes can get a bit dry, so I brought in reinforcements. I asked members of the... read more >>

What’s new in Machine Learning

This post is from Laura Martinez Molera, Product Marketing Manager for Machine Learning and Data Science, here to discuss Machine Learning latest features.  We have just launched the 2nd release... read more >>

Multiple-Order Modeling for Accuracy Improvement

The following is a guest post from Mohammad Muquit here to discuss implementing multi-order modeling to improve accuracy of deep learning models. In typical classification problems, deep neural... read more >>

Diabetic Retinopathy Detection

Post by Dr. Barath Narayanan, University of Dayton Research Institute (UDRI) with co-authors: Dr. Russell C. Hardie, University of Dayton (UD), Manawduge Supun De Silva, UD, and Nathaniel K.... read more >>

Posts 61 - 70 of 130