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Future Facebook AR goggles will float people's names above their heads, replace billboard advertisements with live Facebook ads, and make people you 'mute' become invisible. It'll be a weird world.
That would be dangerous. They could follow the SL example and turn them into cardboard-like figures, or get more creative and let you dress them up as clowns, Barney the Dinosaur or some other avatar of your choice. :)
Earlier quoted context omitted.
For basic use, you can construct text vectors faster/better than word2vec/doc2vec. The Python package which serves as an API to fasttext ( https://pypi.python.org/pypi/fasttext/0.7.2 ) is well documented, is constantly being updated, and is easy to use.
Does/can fastText use GPGPU at all? I use a CUDA cbow word2vec [1] that is really quick, and has served me quite well. Hard to know if switching to something more accurate would be worth giving up the speed :) [1] https://github.com/ChenglongChen/word2vec_cbow
Is there any way for those of us with average intelligence to contribute to tools like this? I know I'm a decent developer, but I feel entirely entirely inadequate to participate in this enormous, scary world of AI.
> Is there any way for those of us with average intelligence to contribute to tools like this? The people doing this aren't magical geniuses; they've just put the time and work into the subject and have been able to get themselves into a position they can do this all day surrounded by others they can collaborate with. As with most human endeavors, the trick is to just get started, and not get frustrated and give up w…
How 'deep' are the networks used in something like DeepMask, and how does it compare with the number of layers of the human brain?
Layers are an abstraction we use to make artificial neural networks dramatically faster to work with using linear algebra. By keeping each node interacting only with the layers above and below, we make the computations a lot nicer for our model of computation.
In the brain, neurons link freely to other arbitrary neurons based on adaption processes we (or at least I) don't really understand.
The brain also lacks a clear idea of direction to count the layers along, since it has innumerable different inputs coming in at all times, and the resulting signals interact all over the place.
The most meaningful analog would probably be to ask "How many neuron firings typically occur between an external stimulus and a response to that stimulus?" Even that is extremely rough though, because through evolution a lot of 'short circuit' structures have formed in our bodies. The gag reflex is obviously triggered by sensory input, but it probably doesn't check with your frontal lobe before firing the appropriate muscles.
How 'deep' are the networks used in something like DeepMask, and how does it compare with the number of layers of the human brain?
It's several orders of magnitude more "neurons" and "connections" than even the largest ANN's
Future Facebook AR goggles will float people's names above their heads, replace billboard advertisements with live Facebook ads, and make people you 'mute' become invisible. It'll be a weird world.
Black mirror?
I feel less and less willing to upload personal photos to social media sites where they will stick around forever attached to my identity while advancing computer vision techniques extract more and more information from them.