Please join MathWorks for a complimentary MATLAB seminar for educators, academic researchers and students at University of Southern California:
Date: Thursday, October 25, 2018
Location: Grace Ford Salvatori Hall (GFS), Room 106
Time: 4:00 p.m. – 6:00 p.m. (sign-in begins at 3:45 p.m.)
Demystifying deep learning: A practical approach in MATLAB
Are you new to deep learning and want to learn how to use it in your work? Deep learning can achieve state-of-the-art accuracy in many human-like tasks such as naming objects in a scene or recognizing optimal paths in an environment.
The main tasks are to assemble large data sets, create a neural network, to train, visualize, and evaluate different models, using specialized hardware – often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them.
In this seminar, we’ll demonstrate new MATLAB features that simplify these tasks and eliminate the low-level programming. In doing so, we’ll decipher practical knowledge of the domain of deep learning. We’ll build and train neural networks that recognize handwriting, classify food in a scene, and figure out the drivable area in a city environment.
Please contact me with any questions at sarah.fayyad@mathworks.com.
Sincerely,
Sarah Fayyad
Account Manager, Education Department
MathWorks
Published on October 21st, 2018
Last updated on December 1st, 2020