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What about providing some empirical evidence on how to choose a network? It's not enough to list a few alternative architectures - how are readers supposed to k
by prashp 6y ago
What about providing some empirical evidence on how to choose a network? It's not enough to list a few alternative architectures - how are readers supposed to know which ones are worth trying first? This seems to be a problem in deep learning - too many seemingly important model parameter choices are more often than not just selected based on author preference.
- pizza 6y agoI like the article though I guess the title doesn't align with its contents. To speculatively answer your question- pick suitable metrics and run them on your data. Maybe IOU (intersection over union) is a good one.