xer0x + machinelearning   20

Neural scene representation and rendering | DeepMind
We introduce the Generative Query Network (GQN), a framework within which machines learn to perceive their surroundings by training only on data obtained by themselves as they move around scenes. Much like infants and animals, the GQN learns by trying to make sense of its observations of the world around it. In doing so, the GQN learns about plausible scenes and their geometrical properties, without any human labelling of the contents of scenes.
computer_vision  deep-learning  3d  ai  ifttt  machinelearning  ml  Pocket  rendering  2d 
june 2018 by xer0x
Business questions engineers should ask when interviewing at ML/AI companies
A few folks have been asking me if such-and-such would be good AI/ML company to work at. If you’re a data scientist or engineer and are considering a job, here are some interesting questions to ask…
ai  business  career  interview  machinelearning  ml 
november 2017 by xer0x
Unsupervised sentiment neuron
We’ve developed an unsupervised system which learns an excellent representation of sentiment.
ai  nlp  machinelearning  ifttt  machine-learning  Pocket  sentiment  Archive  artifical-intelligence  blog-post 
april 2017 by xer0x

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