Learn about the complete Al pipeline, from data exploration to implementation, in the Deep Learning with Matlab seminar scheduled Tuesday, Oct. 24.
The seminar, which runs from 11 a.m. to 1 p.m. in Carlson Library Room CL1005, will focus on how to develop AI applications using MATLAB on MRI data and tools and fundamental approaches for developing advanced predictive models on images.
Among the highlights:
• Create deep learning models from scratch for 3D data;
• Explore pretrained models and use transfer learning; and
• Learn how to deploy codes to embedded targets.
The event is organized by Juice House’s iCode “Blend,” a professional, project-based, interactive learning community that connects students with UT alumni and industrial experts.
The presenters are Dr. Hoda Sharifi, an education application engineer at MathWorks, and Dr. Ahmed Mekky, an education customer success engineer at MathWorks.
To register, fill out the online seminar registration form. Seats are limited and lunch will be provided.
Juice House is a student organization that fosters a healthy, diverse and alternative social ecology to cultivate mental and physical wellness, promote student success and build public connectedness. For more information, please visit Juice House’s website at www.juicehouse.org.
