Re:All of Statistics, by Larry Wassserman (2013) [pdf]
by DavidSJ on Sunday May 15, 2016 @11:17PM
(#11704001)
Image classification has everything to do with statistics: you're guessing the probability distribution over the classes conditional on the input image vector; the model is trained through a process of statistical inference (using gradient descent).
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Re:All of Statistics, by Larry Wassserman (2013) [pdf]
by argonaut on Monday May 16, 2016 @03:20AM
(#11704783)
You have stated something that someone with a high school-level (e.g. superficial) understanding of probability/statistics would understand. Most research in neural networks requires only a very superficial level of statistics.
There are certainly many areas of neural networks where statistics is important (more theoretical areas), but those don't form the core of the research field.
Also, calling (stochastic) gradient descent a form of statistical inference, while technically correct, is a ridiculous stretching of the term. No researcher considers SGD to be a statistical inference algorithm.