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 ...

In 2006–2011, “deep learning” was popular, but “deep learning” mostly meant stacking unsupervised learning algorithms on top of each other in order to define complicated features for ...

Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest. A Random Forest is constructed from many layers, ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

A deep reinforcement learning algorithm can solve the Rubik's Cube puzzle in a fraction of a second. The work is a step toward making AI systems that can think, reason, plan and make decisions.

Building a smarter robot with deep learning and new algorithms From a business and societal standpoint, that can lead to a number of benefits. Written by Bob Violino, Contributor Aug. 5, 2016 at 8 ...