Visual Studio Magazine

Binary Classification Using a scikit Neural Network

A binary classification problem is one where the goal is to predict the value of a variable where there are exactly two discrete possibilities. For example, you might want to predict the sex of a ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
InfoWorld

What is neural architecture search? AutoML for deep learning

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...
Investing

WiMi launches hybrid quantum neural network for image classification

BEIJING - WiMi Hologram Cloud Inc. (NASDAQ:WIMI) has introduced a hybrid quantum neural network structure (H-QNN) designed for image multi-classification, according to a press release statement issued ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...