Sequence-to-sequence machine learning

Sequence-to-sequence machine learning

Mike Austin Sequence. (source: BlueDrew on Wikipedia).Download our free report “Future of Machine Intelligence: Perspectives from Leading Practitioners,” now available. The following interview is one of many included in the report. Oriol Vinyals is a research scientist at Google working on the DeepMind team by way of previous work with the Google Brain team. He holds a Ph.D. in EECS from University of California, Berkeley, and a master’s degree from University of California, San Diego. Key takeaways Sequence-to-sequence learning using neural networks has delivered state-of-the-art performance in areas such as machine translation. While powerful, such approaches are constrained by a number of factors, including computational ones. LSTMs have gone a long way toward pushing the field forward. Besides image and text understanding, deep learning models can be taught to “code”…


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