Robot learning of symbol grounding in multiple contexts
||Robot learning of symbol grounding in multiple contexts|
||Mohamadreza Faridghasemnia <firstname.lastname@example.org>|
||2022-08-08 – 2023-03-01|
One of the basic requirements of symbol grounding is that a robot has to recognize objects and their visual properties in an image. I am a WASP AIML Ph.D. student planning to use Berzelius to train a neural network capable of detecting objects and their visual attributes. I plan to use Berzelius to train a model of TensorFlow for a dataset of around 100k images (10gb compressed, almost the same as the visual genome dataset), with about 3000 classes to learn.