Sentence examples for learned representations from inspiring English sources

The multineural network model presented in this work, allows acquisition of different neural representations of the grasping task through a successive learning over two stages in a strategy that uses already learned representations for the acquisition of the subsequent knowledge.

The ILGA model is able to extract affordance representations from visual object features, learn motor parameters for generating stable grasps, and generalize its learned representations to novel objects.

Learning Representations Preprint at http://arxiv.org/abs/1409.0473 (2014).

International Conference on Learning Representations (ICLR), 2018.

International Conference on Learning Representations (ICLR), 2019.

International Conference on Learning Representations http://arxiv.org/abs/1312.6229 (2014).

International Conference on Learning Representations Workshop (ICLR), 2014.

In this work, we develop and study additional techniques for learning representations of goals.

(d) How can we learn representations that combine probabilities and logic?

A fast learning procedure is presented that allows symmetric networks to learn representations of unknown logic formulas by looking at examples.

It makes use of deep neural network (DNN) models composed of multiple processing layers (network architecture) to learn representations of data with multiple levels of abstraction44.