Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Facebook’s explanations for how its heavily promoted AI algorithms ...

NIPS 2009 Demonstration: Binary Classification using Hardware Implementation of Quantum Annealing (19 page pdf) Previous work [NDRM08, NDRM09] has sought the development of binary classifiers that ...

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...