Speaker:
Angel Cruz Roa, PhD & Haibo Wange, PhD
Abstract:
Feature representation is the most fundamental issue in
computer vision. Recently, hierarchical feature learning, a.k.a. deep
learning (DL), emerges as the primary solution for this issue due to
its successful application in several tasks such as automatic image
annotation and character recognition by Google Brain and other IT
companies like Facebook, Microsoft, and Baidu. In this talk we will
briefly introduce deep learning from both a theoretical and practical
perspective. In the first part of this talk, Haibo Wang will present
what is deep learning, why it's so effective, and which deep learning
frameworks exist. In the second part, Angel Cruz will present
Convolutional Neural Networks (CNN), the most widely used DL framework
in computer vision. Meanwhile, Angel will present how to use Torch7,
one of the best deep learning frameworks that is publicly available.
Finally, we will present two example applications of DL in breast
cancer image analysis.