The first part of an autoencoder is called the encoder component, and the second part is called the decoder. To use an autoencoder for anomaly detection, you compare the reconstructed version of an ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

The deep neural network architecture, called a denoising autoencoder, is similar to FlowNet and U-Net and consists of encoder and decoder components to progressively subsample and upsample inputs ...