Lucasz Kaiser offers an overview of Tensor2Tensor, a library of deep learning models and datasets that facilitates the creation of state-of-the art models for a wide variety of ML applications, such as translation, parsing, image captioning, and more, enabling the exploration of various ideas much faster than previously possible.
This session is sponsored by Google.
Lukasz Kaiser is a staff research scientist on the Google Brain team at Google, where he works on fundamental aspects of deep learning and natural language processing. He has codesigned state-of-the-art neural models for machine translation, parsing, and other algorithmic and generative tasks and coauthored the TensorFlow system and the Tensor2Tensor library. Previously, Lukasz was a tenured researcher at University Paris Diderot, where he worked on logic and automata theory. He holds a PhD from RWTH Aachen University and an MSc from the University of Wroclaw, Poland.
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