GitHub - oegedijk/keras-embeddings: Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) in a Keras model.

by: Oege Dijk Neural Network models are almost always better for unstructured data (e.g. image data). However for structured data, they often still underperform tree based models (random forrests, boosted trees, etc) they often also don't play as nice with categorical variables as tree models do. However an exciting new methodology to work with categorical data is entitiy embeddings. These are sim

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