Visual Studio Magazine

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 different from the majority for tasks like ...
Nature

RGB-D salient object detection via convolutional capsule network based on feature extraction and integration

Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural ...
Visual Studio Magazine

Autoencoder Anomaly Detection Using PyTorch

# batch item has 65 values between 0 and 1 . . . 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 ...