pytorch-widedeep: deep learning for tabular data

Description

Summary

• deep learning for tabular data This is the third of a series of posts introducing pytorch-widedeepa flexible package to combine tabular data with text and images (that could also be used for “standard” tabular data alone).
• Image by Author) The TabMlp is the simples architecture and is very similar to the tabular model available in the fantastic fastai library.
• At this stage the data is prepared and we are ready to build the model Snippet 3 One important thing to mention before I move on, common to all models, is that pytorch-widedeep models (in this case TabMlp) do not build the last connection, i.e.
• the connection with the output neuron or neurons depending whether this is a regression, binary or multi-class classification.
• These embeddings are stacked and passed through three transformer blocks.