The demo prepares training by setting up a loss function (mean squared error), a training optimizer function (Adam) and parameters for training (learning rate and max epochs). [Click on image for ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

However, a relatively new form of quantile regression is neural network quantile regression -- a variation of neural network regression. By using a custom loss function that penalizes low predictions ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, ... rather than minimizing a loss function as in classical neural networks.