Recent submissions

Comment · 6 years ago
Which inductive bias?
Comment · 6 years ago
Hai davai!
Comment · 6 years ago
Keep it up
Comment · 6 years ago
Agile, an empirical survey of whatever the hell it actually is.
Comment · 6 years ago
The Book of Why by Judea Pearl may be a good starting point for anyone interested in this.
Comment · 6 years ago
Comment · 6 years ago
I hope someday Crystal will supplant Java.
Comment · 6 years ago
Thank god I now have an easy way to communicate with all my satellites.
Comment · 7 years ago
Comment · 7 years ago
Is it ironic that I'm going to quote this passage in my grad school admissions essay?
Comment · 7 years ago
As an engineer, this makes me wish there were a better path to FANG employment than hacking their whiteboarding interviews by leetcoding for weeks. They probably do this because it's more objective and simpler than something like the "long conversation with a professor" test that pg suggests.
Comment · 7 years ago
Who's excited about this? What's your use case that just became viable because of it? Definitely don't mean these questions in a condescending way, just want to get a read on the pulse from the folks here that will use it :)
Comment · 7 years ago
Cost can be a killer here though. If you're flipping from blue to green and vice versa you either have to have capacity in stand-by(expensive) or spin up new capacity before flipping(time-consuming).
Comment · 7 years ago
Efficiency metrics would be really useful is evaluating DNNs for embedded solutions as well.
Comment · 7 years ago
Understanding a sentence is fundamentally different from recognizing an object. But people are trying to use deep learning to do both.

I agree with most of the article but I think this^^ skips over the different types of networks used to solve perception and language problems. A CNN is very different from say, word2vec, which isn't a very deep network at all.

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