Deep Learning, Part 3: Too Deep or Not Too Deep? That is the Question
In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first,
Machine Learning Made Simple
In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first,
In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from
Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent