TensorFlow Wide & Deep Learning Tutorial

TensorFlow Wide & Deep Learning Tutorial

In the previous TensorFlow Linear Model Tutorial, we trained a logistic regression model to predict the probability that the individual has an annual income of over 50,000 dollars using the Census Income Dataset. TensorFlow is great for training deep neural networks too, and you might be thinking which one you should choose—Well, why not both? Would it be possible to combine the strengths of both in one model?

In this tutorial, we'll introduce how to use the TF.Learn API to jointly train a wide linear model and a deep feed-forward neural network. This approach combines the strengths of memorization and generalization. It's useful for generic large-scale regression and classification problems with sparse input features (e.g., categorical features wit