Deep Learning Overview for Images and Video | Master Class with Loren Shure
Deep learning is a key technology driving the current artificial intelligence (AI) megatrend. You may have heard of some mainstream applications of deep learning, but how many of them would you consider applying to your engineering and science applications?
MATLAB and Simulink developers have purpose-built the MATLAB deep learning functionality for engineering and science workflows. We understand that success goes beyond just developing a deep learning model. Ultimately, models need to be incorporated into an entire system design workflow to deliver a product or a service to the market.
The aim of the session is to provide an overview of how MATLAB enables you to take advantage of disruptive technologies like deep learning. We will:
• Show where deep learning is being applied in engineering and science, and how it is driving MATLAB’s development.
• Demonstrate a workflow for how you can research, develop and deploy your own deep learning application.
• Outline what MATLAB and Simulink engineers can do to help support you achieve success with deep learning.
Demo files (note: this is a large download at 433 MB): https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/company/events/post-event-email/3228951-Presentation.zip
Check out these other great resources:
* See if your school has a MATLAB campus license: https://bit.ly/33hvREb
* Get a free product trial: https://bit.ly/2SeH5mA
* MATLAB EXPO 2020 On Demand: https://bit.ly/3n8KgKL
* Join the Simulink Student Challenge: https://bit.ly/30iLVUb
* Learn more about MATLAB: https://bit.ly/3l5xkDR
* Learn more about Simulink: https://bit.ly/36lYuSw
* See what's new in MATLAB and Simulink: https://bit.ly/33iHRp0
Deep learning is a key technology driving the current artificial intelligence (AI) megatrend. You may have heard of some mainstream applications of deep learning, but how many of them would you consider applying to your engineering and science applications?
MATLAB and Simulink developers have purpose-built the MATLAB deep learning functionality for engineering and science workflows. We understand that success goes beyond just developing a deep learning model. Ultimately, models need to be incorporated into an entire system design workflow to deliver a product or a service to the market.
The aim of the session is to provide an overview of how MATLAB enables you to take advantage of disruptive technologies like deep learning. We will:
• Show where deep learning is being applied in engineering and science, and how it is driving MATLAB’s development.
• Demonstrate a workflow for how you can research, develop and deploy your own deep learning application.
• Outline what MATLAB and Simulink engineers can do to help support you achieve success with deep learning.
Demo files (note: this is a large download at 433 MB): https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/company/events/post-event-email/3228951-Presentation.zip
Check out these other great resources:
* See if your school has a MATLAB campus license: https://bit.ly/33hvREb
* Get a free product trial: https://bit.ly/2SeH5mA
* MATLAB EXPO 2020 On Demand: https://bit.ly/3n8KgKL
* Join the Simulink Student Challenge: https://bit.ly/30iLVUb
* Learn more about MATLAB: https://bit.ly/3l5xkDR
* Learn more about Simulink: https://bit.ly/36lYuSw
* See what’s new in MATLAB and Simulink: https://bit.ly/33iHRp0
