Published
Discover how greater computing power and GPUs are advancing BAIR’s research in autonomous driving and machine learning models with Berkeley’s Engineering professor John Canny and Learning Center Managing Director Trevor Darrell:
- Category
- Computing
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
01:31
MILABOT, a Deep Learning Chatbot by the Montreal Institute for Learning Algorithms
-
00:47
What is AI, ML, and Deep Learning?
-
10:33
Autonomous - Self Driving Cars in the World You Must See
-
14:39
Level 3 Autonomous Driving with the Mercedes EQS ! Self-Driving EV test
-
10:38
DRIVEN: Mercedes-Benz Drive Pilot | Level 3 Autonomous Driving | Are Self-Driving Cars Finally Here?
-
02:36
The Deep Learning Revolution
-
02:35
UC Berkeley Building Smarter Everyday Robots with Deep Learning
-
00:27
AI and Deep Learning at GTC 2017
-
1:08:46
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
-
02:36
U.C. Berkeley Researchers Integrate New NVIDIA Deep Learning Software into Caffe
-
51:49
[SAIF 2019] Day 1: Adapting and Explaining Deep Learning for Autonomous Systems - Trevor Darrell
-
00:16
Preview of Deep Learning at GTC 2016
-
38:30
[SAIF 2019] Day2: Geometric Deep Learning for Forecasting and Semi-supervised Learning - Joan Bruna
-
00:40
Deep Learning online course
-
03:25
Wide & Deep Learning with TensorFlow - Machine Learning
-
11:14
Artificial Intelligence, Machine Learning, and Deep Learning
-
05:56
Car Tech 101: Three layers of autonomous driving
-
16:06
GTC 2015: NVIDIA DRIVE PX Self-Driving Car Computer and Deep Learning (part 8)
-
09:55
Can Your Car Drive Itself? | The Six Levels of Autonomous Driving | Self-Driving Cars Overview
-
00:54
Deep Learning in Udacity's Self-Driving Car Nanodegree
-
28:28
Breakthroughs in Machine Learning - Google I/O 2016
-
1:05:18
How Deep Learning Will Enable Self-Driving Cars
Loading...