Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Feed-forward neural networks are now widely used in classification problems, whereas nonlinear methods of discrimination developed in the statistical field are much less widely known. A general ...

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

In the Optica Publishing Group journal Biomedical Optics Express, the researchers report the results showing that their artificial neural network classification algorithm can accurately predict ...