Timeline for What are the predictor variables in a neural network?
Current License: CC BY-SA 4.0
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| Jan 15, 2019 at 18:53 | history | edited | Sycorax♦ | CC BY-SA 4.0 |
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| Jan 15, 2019 at 18:40 | comment | added | Sycorax♦ | @nbro Sure, you could think of it that way. This is another reason why I prefer the "input" and "output" language: it's very general. The fact that these distinctions are really differences in perspective is important to keep in mind. Another person might not think of an image as a matrix of features, but instead think of it as a raw input, which must be transformed by feature extraction. Unlike mathematical definitions and concepts, there doesn't seem to be an enormous downside to being flexible in terminology. | |
| Jan 15, 2019 at 18:31 | comment | added | Sycorax♦ | @Tim I don't see "random variable" appear in any sentence with a question mark, so my reading was that "random variable" was introduced as a characterization of the wikipedia articles. I suppose that OP may have a question about random variables, but s/he has yet to ask it. | |
| Jan 15, 2019 at 18:27 | history | edited | Sycorax♦ | CC BY-SA 4.0 |
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| Jan 15, 2019 at 18:25 | comment | added | Tim | Your answer misses the confusion between "independent variable" and "random variable", I guess it may be worth discussing. | |
| Jan 15, 2019 at 18:21 | history | edited | Sycorax♦ | CC BY-SA 4.0 |
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| Jan 15, 2019 at 18:19 | history | answered | Sycorax♦ | CC BY-SA 4.0 |