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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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.
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
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.