Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

这篇文章中，我们将利用 CIFAR-10 数据集通过 Pytorch 构建一个简单的卷积自编码器。 引用维基百科的定义，”自编码器是一种人工神经网络，在无监督学习中用于有效编码。自编码的目的是通过一组数据学习出一种特征（编码），通常用于降维。“ 为了建立一个 ...

Autoencoder Anomaly Detection Using PyTorch Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...

During last year’s F8 developer conference, Facebook announced the 1.0 launch of PyTorch, the company’s open-source deep learning platform. At this year’s F8, the company launched version 1.1. The ...

Microsoft is now officially the maintainer of the Windows version of PyTorch, a popular open-source machine-learning library created by Facebook. Microsoft's decision to take a bigger role in the ...