Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud

Stanford University via YouTube

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.

Syllabus


Taught by

Stanford Online


Tags

united states

provider YouTube

YouTube

34 Courses


YouTube

pricing Free Online Course
language English
duration 47 minutes
sessions On-Demand