Scientists have developed a new model for heat exchangers of heat pumps, combining strengths of numerical modeling and ...

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 ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. You’ve probably heard of an AI technique known as “style transfer” — or, if you ...

Figure 1. A diagram of the neural network we’ll use for our example. The idea in backpropagation with gradient descent is to consider the entire network as a multivariate function that provides ...

function approximation, image compression, forecasting and prediction, and nonlinear system modeling. These networks are "neural" in the sense that they may have been inspired by the brain and ...

While deep neural networks are all the rage ... Neural layers, cost functions, optimizers, initialization schemes, activation functions, and regularization schemes are all standalone modules ...