Join us in a set of seminars on Machine Learning and Deep Learning organized by University Libraries and MathWorks, Inc.

Registration is recommended. http://goo.gl/HtkdLV ; walk-ins are welcome.

Session One, 9 – 11:30 a.m. Data Analytics with MATLAB

Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes.  In this session you will learn approaches and techniques available in MATLAB to tackle these challenges.

Session Two, 12:30 – 3 p.m. Demystifying Deep Learning:  A Practical Approach in MATB

Deep learning can achieve state-of-the art accuracy in many humanlike 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.  In this seminar, we’ll demonstrate new MATLAB features that simplify these tasks and eliminate the low-level programming.  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.

Contact Info: Karen Chapman, kchapman@ua.edu, 205-348-1096