Hands-On Deep Learning with R

Summary

In this chapter, you learned how to use the custom Keras API and embeddings to construct a deep neural network recommender system. We briefly introduced collaborative filtering concepts and saw how to prepare data for building a custom neural network. During this iterative process, we created user and item embeddings, trained a deep neural network using embedded layers, tuned hyperparameters, and evaluated results using common performance metrics. In the next chapter, you will continue applying neural network approaches to other domains, such as natural language processing.