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 ...
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
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 ...
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