Pioneers discuss the future of Deep Learning.

In this article published in, Deep Learning pioneers Yoshua Bengio, Geoffrey Hinton and Yann LeCun discuss a future in which deep learning models can learn with little or no help from humans. Deep learning can be described as artificial neural networks in which it mimics brain funcionality. The specialists highlighted a few subsets such as Supervised, Reinforcement, Contrastive and System 2 learning, alongside to pros and cons. The considerations were published this month in the paper “Deep Learning for AI”, in the Communications of the ACM journal.