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TotallyNotGunnar t1_iyjpbzs wrote

Reply to comment by ThePhantomPhoton in [R] Statistical vs Deep Learning forecasting methods by fedegarzar

Even then. I dabble in image processing at work and haven't found a need for deep learning yet. Every time, there's some trick I can pull with a rule based classifier to address the business need. It's like Duck Hunt: why recognize ducks when you can scan for white vs. black pixels?

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ThePhantomPhoton t1_iyk2c66 wrote

Upvoted because I agree with you-- for many simple image problems you can even just grayscale and use the distance from the Frobenius Norm of each class as input to a logistic regression and nail many of the cases.

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TrueBirch t1_iymfk2r wrote

When I first read your comment, I thought you were still talking about Duck Hunt. I'd read the heck out of that whitepaper.

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ragamufin t1_iyl7qwv wrote

Amen we’ve been doing satellite image time series analytics and deep learning keeps getting pushed off in favor of classification models based on complex features

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