1- Is it possible to avoid local minima by combining a crude form of simulated annealing with backprop?<BR><BR>specifically, make the activation or weights stochastic, and gradually reduce the ...

I’m standing in what is soon to be the center of the world, or is perhaps just a very large room on the seventh floor of a gleaming tower in downtown Toronto. Showing me around is Jordan Jacobs, who ...

Blame is the main game when it comes to learning. I know that sounds bizarre, but hear me out. Neural circuits of thousands, if not more, neurons control every single one of your thoughts, reasonings, ...

Many new data scientists have voiced what they feel is the lack of a satisfying way to learn the concepts of back propagation/gradient computation in neural networks when taking undergrad level ML ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

Five DECADES of research into artificial neural networks have earned Geoffrey Hinton the moniker of the Godfather of artificial intelligence (AI). Work by his group at the University of Toronto laid ...