James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions. Understanding neural network activation functions is ...

The objective of the Feedforward Neural Network is to approximate some function f*. Neural Networks use classifiers, which are algorithms that map the input data to a specific category.

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables ...

A common objective for neural networks is to find a mathematical function, or curve, that best connects certain data points. The closer the network can get to that function, the better its predictions ...

NT: Explain what neural networks are ... we didn’t have quite the right objective functions. I thought for a long time it was because we were trying to do supervised learning, where you have ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...