DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

Since 2012, “deep learning” has mostly meant using back-propagation to optimize all the parameters in a deep computational graph representing some differentiable function.

Figuring out the ways in which algorithms and deep learning models are different is a good start if the goal is to reconcile them. Deep learning can’t generalize For starters, Blundell said ...

Curious about deep learning AI? Here’s your guide on deep learning, how it works and how it is deeply associated with the artificial intelligence world.

Deep learning, meet knowledge graphs . ... "People fell in love with this notion of 'I just pour in all of the data in this one magic algorithm and it's going to get me there'.

In general, classical machine learning algorithms run much faster than deep learning algorithms; one or more CPUs will often be sufficient to train a classical model. Deep learning models often ...

Furthermore, deep learning is at the heart of current efforts to produce general artificial intelligence (GAI) – otherwise known as human-level AI. As most of us dream of living in a world where ...

With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun ...