Nice crisp presentation Sean👍, I have a question? As you were mentioning about identifying the edge case , labelling that case and feeding to the model again , so I wanted to ask how often do you retrain the same model? We might come across a edge case very often as the real world is stochastic.
Nice presentation Sean! If I could go back in time I would've put more effort in the AI tutorials you lectured to my class at UNSW. Great job!
i guess I'm quite randomly asking but does anybody know of a good website to stream newly released tv shows online ?
@Lawrence Juan i would suggest Flixzone. You can find it on google =)
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Nice crisp presentation Sean👍, I have a question? As you were mentioning about identifying the edge case , labelling that case and feeding to the model again , so I wanted to ask how often do you retrain the same model? We might come across a edge case very often as the real world is stochastic.
hi I got a question about self driving car video, is there any inside view? only we can see the view of the lense
the physical simulator is fantastic!
You are light years behind Waymo. You've lost your permit in a major city. GM is making noises about pulling out.
sounds like a terrible way to label the dataset. You should use physics based labels as much as possible. Just predict the trajectories for example.