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SUMMARY:Deep learning for autonomous driving  - Takayoshi Yamashita (Chubu
  University) 
DTSTART:20170908T100000Z
DTEND:20170908T110000Z
UID:TALK79811@talks.cam.ac.uk
CONTACT:54031
DESCRIPTION:Convolutional Neural Network (CNN) has a great potential and c
 an be applied to various tasks by changing the relationships between input
 s and outputs. Autonomous driving is one of the hot topics among them. In 
 this talk\, we will introduce our research using CNNs for tasks such as ob
 ject detection\, semantic segmentation and human pose estimation necessary
  for realizing automatic driving. We will also introduce the reinforcement
  learning of driving behavior into simulation. 
LOCATION:CBL Room BE-438\, Department of Engineering
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