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MathWorks Educational Session on March 19, 10am—2:30pm

The TTU IT Division welcomes MathWorks to our campus and invites the TTU community to attend one or both MATLAB training sessions on Tuesday, March 19 from 10am—2:30pm, hosted in room 151 of the Teaching, Learning, and Professional Development Center (TLPDC). Agenda for the training:

Session 1: Parallel and GPU computing with MATLAB (10am—12pm)
· Toolboxes with built-in algorithms for parallel computing
· Creating parallel applications to speed up independent tasks
· Scaling up to computer clusters, grid environments or clouds
· Employing GPUs to speed up your computations

Lunch provided by MathWorks.

Session 2: Demystifying Deep Learning: A Practical Approach in MATLAB (12:30pm—2:30pm)
· Manage extremely large sets of images
· Visualize networks and gain insight into the black box nature of deep networks
· Perform classification and pixel-level semantic segmentation on images
· Import training data sets from networks such as GoogLeNet and ResNet
· Import and use pre-trained models from TensorFlow and Caffe
· Speed up network training with parallel computing on a cluster
· Automate manual effort required to label ground truth
· Automatically convert a model to CUDA to run on GPUs

We invite you to attend either or both training sessions. MathWorks will provide lunch, so please RSVP by March 15 to to ensure that we have ample food for all attendees.

Event Details

Date: Tuesday, March 19
Time: 10am—2:30pm
Location: TLPDC 151
RSVP by March 15 to


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Event Information
Time: 10:00 AM - 2:30 PM
Event Date: 3/19/2019