pytorch-widedeep: A flexible package for multimodaldeep learning
J. Rodríguez Zaurín, Pavol Mulinka
Abstract
In recent years datasets have grown in size and diversity, combining different data types.Multimodal machine learning projects involving tabular data, images and/or text are gaining popularity (e.g.Garg et al. ( 2022)).Traditional approaches involved independent feature generation from every data type and their combination in the later stage before passing them to an algorithm for classification or regression.
Topics & Concepts
Deep learningComputer scienceArtificial intelligenceAdvanced Neural Network ApplicationsTopic ModelingMultimodal Machine Learning Applications