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 ...

An Autoencoder is a type of neural network designed to reconstruct ... Implementations have been done in both TensorFlow and PyTorch, the two most widely used frameworks in Deep Learning, to explore ...

Minor discrpencies between the original Keras figures and the PyTorch ones below maybe attributed to unaccounted for defaults and/or initializations. In the lsun.py example, we attempt to show case ...

In this article, we will define a Convolutional Autoencoder in PyTorch and train it on the CIFAR-10 dataset in the CUDA environment to create reconstructed images. Convolutional Autoencoder is a ...

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 ...