So deep neural networks don’t have to approximate any possible mathematical function, only a tiny subset of them. To put this in perspective, consider the order of a polynomial function, which ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification ...

In recent years experts have been able to prove the minimum number of layers a neural network must consist of in order to approximate a certain type of function—and thus solve a desired task ...

Neural network-generated Coachella band names don’t get any better than ‘Bustles Muckson’ So excited to see my favorite band, ‘Billions of Mario’ ...

The approximate logic neuron model (ALNM) is a single neural model with a dynamic dendritic structure. The ALNM uses a neural pruning function to eliminate unnecessary dendrite branches and ...

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 ...