Deep Learning in MATLAB

Deep Learning in MATLAB

Deep learning is quickly becoming embedded in everyday applications. It’s becoming essential for students and educators to adopt this technology to solve complex real-world problems. MATLAB and Simulink provide a flexible and powerful platform to develop and automate data analysis, deep learning, AI, and simulation workflows in a wide range of domains and industries. Furthermore, MathWorks is pleased to once again be named as a Leader in the Gartner Magic Quadrant for data science and machine learning platforms for 2021.

Learn how you can use MATLAB to apply deep learning techniques to your work whether you’re designing algorithms, preparing and labeling data, or generating code and deploying to embedded systems.

In this hands-on workshop, you will write code and use MATLAB Online to:
• Train deep neural networks on GPUs in the cloud
• Create deep learning models from scratch for image and signal data
• Explore pretrained models and use transfer learning
• Learn how you can deploy your code to embedded targets
• Discuss how you can interface with Python frameworks

Bring your laptop. Co-sponsored by UA Research Technologies, HPC.

 

 

Date:
Thursday, October 28, 2021
Time:
1:00pm - 3:00pm
Location:
Main 112 - Learning Studio 1st Floor
Library:
Student Learning & Engagement
Audience:
  UA campus  
Categories:
  Data management     Research & publishing     Software     Workshop  

Registration is required. There are 6 seats available.