deep-learning-recipes R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow). Principles: clean, self-contained, minimal dependency, works with the latest framework versions. Contents Triplet losses for implicit feedback recommender systems. [blog post] [code] Matrix factorization for binary implicit feedback data. [blog post] [code] "Wide and deep" model for regression/classification. [blog post] [code]