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 ...

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 different from the majority for tasks like ...