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 ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...

The Dataset object is passed to a built-in PyTorch DataLoader object. The DataLoader object serves up the data in batches of a specified size, in a random order on each pass through the Dataset. The ...