The term data augmentation refers to methods for constructing iterative optimization or sampling algorithms via the introduction of unobserved data or latent variables. For deterministic algorithms, ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

The idea of data augmentation arises naturally in missing value problems, as exemplified by the standard ways of filling in missing cells in balanced two-way tables. Thus data augmentation refers to a ...

The Data Science Lab Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep ...

Hybrid cloud data management firm Cloudian Inc. today announced the availability of its new PyTorch connector with Remote Direct Memory Access support that delivers erformance improvements for ...