Wide & Deep Learning (https://research.googleblog.com/2016/…) combines the power of memorization and generalization by jointly training wide linear models and deep neural networks. We’ve open-sourced the implementation with an easy-to-use API in TensorFlow. It’s effective for generic large-scale regression and classification problems with sparse inputs, such as recommender systems, search, ranking problems and more. We hope you find it useful in your machine learning projects.
– Google Research Blog post: https://research.googleblog.com/2016/…
– TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/…
– TensorFlow Wide & Deep Learning Tutorial: https://www.tensorflow.org/tutorials/…
– Research paper: http://arxiv.org/abs/1606.07792
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