Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud
YouTube
60 Courses
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Overview
University: Stanford University
Provider: YouTube
Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses
This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distributed inference, and learning, as well as the accuracy and hidden costs associated with robot and cloud deep neural networks.
The course covers a range of critical topics such as:
- Network congestion
- Cloud offloading decision-making
- Reinforcement learning
- Benefits of specialization in correcting errors
The teaching method involves discussing theoretical concepts, practical experiments, and exploring real-world applications. This course is intended for individuals interested in robotics, cloud computing, artificial intelligence, and machine learning.