Lex Fridman
This is a guest talk for course 15.S14: Global Business of Artificial Intelligence and Robotics (GBAIR) taught in Spring 2017.
Slides on slideshare: https://www.slideshare.net/lexfridman/mit-sloan-intro-to-machine-learning-in-360vr
Slides (PDF): https://www.dropbox.com/s/26co4m36ew6952d/gbair-lex-lecture-combined.pdf?dl=1
If you’re interested in more related course lectures, check out the course I’m teaching on Deep Learning for Self-Driving Cars:
Course website: http://selfdrivingcars.mit.edu
Playlist: https://goo.gl/SLCb1y
CONNECT:
– If you enjoyed this video, please subscribe to this channel.
– AI Podcast: https://lexfridman.com/ai/
– Show your support: https://www.patreon.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Twitter: https://twitter.com/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– Slack: https://deep-mit-slack.herokuapp.com
Source
Hope someone has fixed that freakin' fluoro by now :-/
I like it.
Thanks!
Thanks!
.
Hello, firstly great courses. I think slide technique is great, for me this screen technique + you teaching would be awesome no need to see other guys :). And there is a guy with blur face :).
We need an update Lex. Cheers!
this was ahead of its time
That's so cool!
When the second lecturer appears the cam in the center of the room disappears….
Nobody:
Me: frantically pinching and tweaking the screen trying to make the video even while Lex is talking, and then realising it is controlled by the angle of my phone…
(This is probably only funny to me because it's late.)
Ruined the whole lecture with 360 recording
for us poor, is this somewhat better in VR than watching regular video, hearing a podcast or reading a book?
Lovin it!
This is cool!
Its super cool, but the concept does not seem to be optimised by now…not really useful, when i put my phone somewhere to listen, i just see the tripod.
When it comes to classification using unpartitioned photos, how useful is it to include different photo shapes and different resolutions (due to different cameras) in the training set? Asking because if the target application only uses one particular camera that only produces one shape and one resolution, won't that work against the weight/bias training?
it's more of a philosophy lecture than machine learning. Does Lex even code?
Real impact. Very excited about the capabilities. Try to make an update.
This is really cool
Very good structural explaining, from tail to head. Most teachers don't know how to explain (possibly don't understand things) at least by my experience, but you do. Thank you
thanks for sharing this!
What an interesting one!
Cool