top | item 36679105 (no title) e-neko | 2 years ago if they're wrong, they don't work. discuss order hn newest swexbe|2 years ago If my BST implementation isn't sorted, it also doesn't work. amelius|2 years ago The difference is that you can reason about why it didn't work.With deep learning models not so. They are too big to reason about in the same sense as your BST algorithm.Hence, you need a scientific approach to construct them. I.e., with lots of experimenting, hypotheses, etc. load replies (1) ethanbond|2 years ago Same is true of a bridge or a combustion engine though?
swexbe|2 years ago If my BST implementation isn't sorted, it also doesn't work. amelius|2 years ago The difference is that you can reason about why it didn't work.With deep learning models not so. They are too big to reason about in the same sense as your BST algorithm.Hence, you need a scientific approach to construct them. I.e., with lots of experimenting, hypotheses, etc. load replies (1)
amelius|2 years ago The difference is that you can reason about why it didn't work.With deep learning models not so. They are too big to reason about in the same sense as your BST algorithm.Hence, you need a scientific approach to construct them. I.e., with lots of experimenting, hypotheses, etc. load replies (1)
swexbe|2 years ago
amelius|2 years ago
With deep learning models not so. They are too big to reason about in the same sense as your BST algorithm.
Hence, you need a scientific approach to construct them. I.e., with lots of experimenting, hypotheses, etc.
ethanbond|2 years ago