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Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Neural Augmentation
In this case, it sounds like the common pilters providing some constraints or guard rails to the are an end that allow it to perform better. And again, a similar robustness from having a hypernet comon filter versus just a pure neal network. But then itis not that i come and filters cand solve every problem, but there are going to be these other corps algrithms and different problems. It's really just a little bit of mismatch. You had to figure out what that is and put the nome that worked such that we give it the right amount of flexibility to learn how to adapt. We want this philosophy of forsake all the domain knowledge you've built
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