Introduction to Deep Learning and its Applications

Start: 03/06/2017 - 4:15pm
End  : 03/06/2017 - 5:10pm

Applied Math Seminar

Huiyi Hu (Google)


Deep learning uses artificial neural networks to uncover intricate pattern and structure in large data set. This type of method has achieved significant improvement in many fields such as visual object detection, object recognition, speech recognition and natural language processing (NLP) problems. As a result, it has been receiving rapidly increasing amount of attention from both academia and industry.


In this talk, I will first give an overview of the recent progress in deep learning along with a few examples. Then I will go into more technical details on what a basic deep learning model is made of and how it works (multi-layer neural networks and back propagation). At last I will present 1-2 examples in finer details, to show how deep learning technique is used in various applications.

Emmy Noether Rm Millikan 1021 Pomona College

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