I will talk about our recent progress in applying Deep Learning to traditionally hard problems such as Machine Vision and Speech Understanding. This has been achieved using one simple algorithm, without hand-crafted features. I will explain why such algorithm can be directly applied to improve automatic learning and adaptation for smart devices.
Quoc Le is research scientist at Google Brain. At Google, Quoc works on large scale deep learning. He led the team that simulated a neural network which learned the concept of "cat" by watching YouTube videos. His work has made breakthroughs in object recognition, speech recognition and language understanding. Quoc obtained his PhD at Stanford, undergraduate degree with First Class Honors and Distinguished Scholar at the Australian National University, and was a researcher at National ICT Australia, Microsoft Research and Max Planck Institute of Biological Cybernetics.