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While there have been some good incremental improvements, I think you are overstating the place of deep learning vis a vis everything in machine learning that
by ska 8y ago
While there have been some good incremental improvements, I think you are overstating the place of deep learning vis a vis everything in machine learning that came before it. The same thing happened to SVMs in the early 2000s, but with much less industry noise. NB I’m not trying to compare the impact of the two, just noting it was also over stated.
After all, deep learning is fundamentally a continuation of much older techniques. And we absolutely could identify objects in pictures, we’ve been doing that for 40 years now - deep learning techniques have given a very nice jump in accuracy for some tasks but they didn’t come out of nowhere.
I agree the whole labelling “AI” is problematic. That is also a many decades old problem though...
- kthejoker2 8y agoAI developments are more like battery storage improvements. Just 10% improvements year over year, in hardware, in architecture, in algorithms, in data capturing and labeling ... they've just really started to add up. But 10% growth YOY compounds very quickly.
- ska 8y ago10 percent would compound quickly if we were seeing that - I suspect most of the recent acceleration has far more to do with data availability than any technical improvements though.