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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 
5 hours ago by xer0x
GitHub - thibo73800/metacar: A reinforcement learning environment for self-driving cars in the browser.
Metacar: A reinforcement learning environment for self-driving cars in the browser. Metacar is a 2D reinforcement learning environment for autonomous vehicles running in the browser. The project aims to let reinforcement learning be more accessible to everyone through solving fun problems.
Archive  ml  selfdriving 
8 hours ago by leninworld

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