Viewing profile — tiger10guy

https://vimeo.com/115154289

I'll just leave [this]( https://www.youtube.com/watch?v=m5tGpMcFF7U ) here. Dan Dennett has said similar things.

Yes! ... but which variables? Permutations grow exponentially as you add dimensions, so you can't have too many.

Their method for training a shallow network requires that one first train a deep network.

The ideas that I, as a programmer in the traditional sense, want to communicate to computers are not the ideas I want to communicate to humans. I might ask my friend to move the re…

I'm pretty sure there's not an autoencoder involved, it just looks like a vanilla conv net. This is the implementation: http://torontodeeplearning.github.io/convnet/

I don't think information about how Vicarious systems work is publicly available. Presumably they're using something similar to HTM.

In Li Deng's and Dong Yu's book on Deep Learning (March 2014) version they briefly relate Hierarchical Temporal Memory (HTM) to the Convolutional Neural Networks which are popular …

How did you get those numbers?

Answers to real world questions almost always lie somewhere between 0 and 1. Your question is no exception.

I haven't used that, but it looks interesting. After a brief look it seems like they both submit jobs to Python interpreters started up in other processes. Parallel Python (PP) see…

For the every day when I want to make embarrassingly parallel operations in Python go fast I find joblib to be a pretty good solution. It doesn't work for everything, but it's quic…

It might be useful to record the inputs. Someone could train an AI to play 2048 like HN.

You can forget about dimensions... yet it's still in 4 dimensions. That's what's so cool about it!

That makes sense. I think my intuitions for the discrete and continuous are similar for 2D and 3D. Are they fundamentally similar? How do they differ, even if only a little? It see…

It's so hard to get intuitions about higher dimensions and this seems to do an incredible job. The game is simple enough and the cardinality of the dimensions low enough (2x2x2x2) …

It seemed like too short a time. I figured someone had thought of it first, but I still couldn't help saying something. Nice work!

Thanks! (in response to https://news.ycombinator.com/item?id=7417294 )

Someone should make a 4D version.

Well put.

Eventually, academic papers should be interactive because taking advantage of electronic media can communicate so much more. See this talk on "Media for Thinking the Unthinkable" b…

Math isn't the symbols, it's the ideas. The symbols are just a crude way of communicating the ideas.

What's even more cool? Before long computers will be able to conceptualize the whole complex mess. Consider how we acquire knowledge (perhaps like http://matt.might.net/articles/ph…

Ditto to the gambler comment. Read Nate Silver's book on predictions for more. Working as a stock broker shouldn't be compared to software development without some explanation of w…