Deep Learning is a key approach to solving computer vision challenges, such as object detection, object recognition, and image segmentation. While it achieves outstanding results, it can be difficult to train, evaluate, and compare.
In this session, we will explore how MATLAB provides an easier environment for training, evaluation, and comparison of deep learning algorithms in computer vision applications. We will cover recent capabilities for deep learning in MATLAB, Neural Networks Toolbox, and Computer Vision System Toolbox.
|8:30 a.m. – 9 :00 a.m.||Registration and Continental Breakfast|
|9:00 a.m. – 11 :30 a.m.||Deep Learning for Computer Vision seminar|
|11 :30 a.m. - 12 :00 p.m.||Q&A|