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Stanford University

Smart Physical Systems from the Standpoint of an AI Company

Stanford University via YouTube


The theme for Autumn 2018 Topics in Technology Management seminar series is "New Approaches to Energy and Environment Challenges: Recent Developments in Asia." This series features distinguished speakers from industry and government who are involved with new initiatives in energy production and transmission, next generation transportation systems, water resource management, and climate change remediation.

This seminar focuses on introducing you to machine learning and deep learning and its limitations.


Approaches to Intelligence.
What is Deep Learning? - A (Stateless) Function.
Example: Converting Celsius to Fahrenheit.
Alternative Approach - Data-Driven, Inductive Programming.
Machine Learning (aka Statistical Modeling) does this!.
Image Segmentation for autonomous driving.
Model is unknown (3): Flexible Voice Control of Robot.
Algorithm is unknown (1): Auto Coloring Line Drawings.
Algorithm is unknown (2): Reinforcement Learning for Autonomous Driving.
Chainer: Scalable Deep Learning Framework.
We Demonstrated World Fastest ImageNet Training.
Fundamental Limitation of ML (2).
Fundamental Limitation of ML (3).
What is Deep Learning - Recap.
Business Challenges.

Taught by

Stanford Online


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