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Facebook AI Research Team Open Source DeepMask and SharpMask

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Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#11
post #6

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 when it turns out you don't know anything at first. Some people don't mind starting with a ton of abstract learning about the subject, others prefer trying to accomplish specific tasks, learning the theory along the way.

For your specific question, as with all software, there's likely a lot to be done that has little to do with the main task of the tool and is just the everyday tasks of ease of use, interoperation with other tools, testing, etc. If on the other hand you want to get into the scary world of AI, like many others I'd recommend the Coursera machine learning course as a great place to start[1]

[1] https://www.coursera.org/learn/machine-learning

Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#13

NB: The libraries use Torch. I'm still playing around with fasttext (which is amazing btw) officially announced last week so I'm surprised to see Facebook Research announce and release another project so soon.

Could you share what you did with fasttext? It'd be great to see some examples around the amazing tools being open sourced! I read that there are no documentation comments, maybe they were removed?

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.

Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#15
post #6

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.

This one specifically? It would be nice to port the torch implementation of DeepMask/Sharpmask to tensorflow and stick that on github.

Though it might be too much for a beginner ML project. If you are starting from zero, this is a good intro to CNN's - http://cs231n.github.io/convolutional-networks/

Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#16
post #6

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.

Email me if you're interested in working on things like this. alexandersfarley at gmail.com.

I'm working on segmentation in the context of traffic counting.

Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#19

Earlier quoted context omitted.

Could you share what you did with fasttext? It'd be great to see some examples around the amazing tools being open sourced! I read that there are no documentation comments, maybe they were removed?

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

Re: Facebook AI Research Team Open Source DeepMask and SharpMask

#20
post #12
post #8

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?

For those not familiar, specifically the "White Christmas" episode: http://www.imdb.com/title/tt3973198/?ref_=ttep_ep1

For those who are familiar, new episodes are apparently arriving on Oct.21st.

A hackathon project inspired by White Christmas: http://jonathandub.in/cognizance/ (Brand Killer)

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