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Wide & Deep Learning: Better Together with TensorFlow

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We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Our researchers drive advancements in computer science through both fundamental and applied research. We regularly open-source projects with the broader research community and apply our developments to Google products. Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science. We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Supporting the next generation of researchers through a wide range of programming. Participating in the academic research community through meaningful engagement with university faculty. Connecting with the broader research community through events is essential for creating progress in every aspect of our work. June 29, 2016 Posted by Heng-Tze Cheng, Senior Software Engineer, Google Research JUNE 30, 2025 JUNE 27

Wide & Deep Learning: Better Together with TensorFlow Skip to main content Wide & Deep Learning: Better Together with TensorFlow June 29, 2016 Posted by Heng-Tze Cheng, Senior Software Engineer, Google Research Quick links Share Copy link × The human brain is a sophisticated learning machine, forming rules by memorizing everyday events (“sparrows can fly” and “pigeons can fly”) and generalizing those learnings to apply to things we haven't seen before (“animals with wings can fly”). Perhaps more powerfully, memorization also allows us to further refine our generalized rules with except

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