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My first impression was also "huh, why would you need a neural net for that?" but I suppose it's a little like brute force calculations in science in cases wher
by stdbrouw 4y ago
My first impression was also "huh, why would you need a neural net for that?" but I suppose it's a little like brute force calculations in science in cases where probably with some effort you could find an analytic solution -- at a certain point just throwing computation at the problem beats finessing a tidy understandable algorithm to account for e.g. for the small differences in the direction of the shading that seem to define good manual shading.
- mistrial9 4y agohmm this is important and deserves more clarity. Algorithmic computer science is used and taught widely, in a hundred programming languages. Machine Learning is a statistics-based group of techniques using data to guess reliably the values in new data. Machine Learning is often called a subset of AI, but there is no real definition of AI except "doing something with a computer that previously required a human" So the change here is .. instead of pre-written rules to determine outcomes.. use a lot of data, read and build a model from that data, to predict with statistics what the new result should look like given similar inputs. Machine Learning is data-driven to predict, while algorithms use math and loops to derive answers.