Artificial Intelligence

Apply machine learning and deep learning

Posts 11 - 20 of 22

다음에 대한 결과: 2020

Applications in Response to COVID-19: Mask Detection

Today’s post is from Wanbin Song, Application Engineer in MathWorks Korea Office, here to talk about how engineers are reacting to the COVID-19 pandemic with new and innovative applications. Please... 더 읽어보기 >>

Deep Learning Examples: R2020a Edition

With two releases every year, you may find it challenging to keep up with the latest features.* In fact, some people who work here feel the same way! This release, I asked the Product Managers about... 더 읽어보기 >>

Building Autonomous Systems with Simulink and Microsoft’s Project Bonsai

Below is a guest post from Aditya Baru, product marketing manager for our AI product group.  He will be talking about a new partnership between MathWorks and Microsoft. I’m glad to announce that... 더 읽어보기 >>

Raspberry Pi Poker Player

Today, I’d like to introduce Dan Doherty from technical marketing to talk about using Deep Learning with Raspberry Pi using MATLAB. A few members of our development team are self-proclaimed... 더 읽어보기 >>

Optimization of HRTF Models with Deep Learning

Today’s post is from Sunil Bharitkar,  who leads audio/speech research in the Artificial Intelligence & Emerging Compute Lab (AIECL) within HP Labs. He will discuss his research using deep... 더 읽어보기 >>

Learning Deep Learning at Home

Or Learning in the time of Coronavirus After multiple online meetings and virtual conversations, I’ve learned there are many ways people are dealing with suddenly working from home. My unproven... 더 읽어보기 >>

Deep Learning for Medical Imaging: COVID-19 Detection 28

I'm pleased to publish another post from Barath Narayanan, University of Dayton Research Institute (UDRI), LinkedIn Profile. Co-author: Dr. Russell C. Hardie, University of Dayton... 더 읽어보기 >>

Edge AI with Raspberry Pi at GHC19, Grace Hopper Celebration of Women in Computing 1

Hello deep learning enthusiasts! My name is Sara Nadeau, and I am excited to be writing this guest blog post on behalf of the MathWorks Grace Hopper Celebration team! The Grace Hopper Celebration is... 더 읽어보기 >>

Advanced Deep Learning: Key Terms

Key terms in custom training loops In this post, I would like to go into detail on Loss, Model Gradients, and Automatic Differentiation This is Part 2 in a series of Advanced Deep... 더 읽어보기 >>

Advanced Deep Learning: Part 1

Build any Deep Learning Network For the next few posts, I would like us all to step out of our comfort zone. I will be exploring and featuring more advanced deep learning topics. Release 19b... 더 읽어보기 >>

Posts 11 - 20 of 22