> I said cost/benefit and your example is about an expensive way to do what a car can do.
Sometimes neural net running on a sever rack full of GPUs is also overkill, including the cost/benefit. You get bonus points for buzzwords thought.
> It will train a neural net sooner than it will learn 3d computer vision.
And you would trust it to run as required? I admire your courage. Unless the person selecting the training data knew what they were doing I wouldn't. I certainly wouldn't trust a child to get it right without being trained itself.
> I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it?
Your mention against "building chessboards" for basic calibration as if that was in any way hard or even necessary. Calibration of sensors on mars is already a solved problem. I don't understand why you would think otherwise.
Sometimes neural net running on a sever rack full of GPUs is also overkill, including the cost/benefit. You get bonus points for buzzwords thought.
> It will train a neural net sooner than it will learn 3d computer vision.
And you would trust it to run as required? I admire your courage. Unless the person selecting the training data knew what they were doing I wouldn't. I certainly wouldn't trust a child to get it right without being trained itself.
> I said that I was a skeptic against deep learning an in favor of the old ways, so why do you claim that I hate it?
Your mention against "building chessboards" for basic calibration as if that was in any way hard or even necessary. Calibration of sensors on mars is already a solved problem. I don't understand why you would think otherwise.