Home / IT & Computer Science / AI & Robotics / Applications of AI Technology / VIVID: Virtual Environment for Visual Deep Learning
VIVID: Virtual Environment for Visual Deep Learning
v
Prof. Lai introduces VIVID: Virtual Environment for Visual Deep Learning in this video. VIVID can be applied in different areas: Semantic Segmentation, Depth Prediction, Autonomous Navigation, Action Recognition. Prof. Lai will explain each of them in detail.
There are certain advantages of VIVID:
- It is easy to use
- Specific API for deep learning
- Distributed learning through TCP/IP
- Simulate real-life events with human actions
- Large-scale indoor and outdoor scenes
Reach your personal and professional goals
Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.
Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.
