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by ShamelessC
1716 days ago
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With regard to the class conditioned regime they are experimenting with; this is merely attempting to explain more precisely _how_ deep nets are able to distinguish features between classes. We already know that they do; but we lack a detailed model of precisely why they do and my understanding is that many base assumptions made by e.g. statistics will not help you at all with neural networks (for instance, overparameterization leading to better performance on out-of-corpus rather than overfitting). |
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There is lately a lot of hate against classic statistics on HN. I don't know why. Does it help to understand why and how NNs work? Not yet. But saying that it is utterly useless and won't provide any useful insights in the future sounds to me like telling the young Steve Jobs that dropping out of college and taking calligraphy classes instead of is utterly useless. And still, I am writing this on an Apple product, which set the standards for digital typography...