A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...
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 ...
DistilBERT as feature extractor IMDB movie review DistilBERT classifier with sklearn random forest and logistic regression Fine-tune DistilBERT I IMDB movie review Fine-tune only the last 2 layers of ...
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