With the rapid increase of data in scientific domains, there are exciting opportunities for deep learning for science. But a challenge is knowing where to start. With this survey, we aim to address this, giving a broad overview of key deep learning methods and new advances. Thx! https://t.co/urc6aOljMT
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With the rapid increase of data in scientific domains, there are exciting opportunities for deep learning for science. But a challenge is knowing where to start. With this survey, we aim to address this, giving a broad overview of key deep learning methods and new advances. Thx! https://t.co/urc6aOljMT http://twitter.com/ericschmidt/status/1243586137664270336 https://t.co/urc6aOljMT March 28, 2020 at 02:10AMWith the rapid increase of data in scientific domains, there are exciting opportunities for deep learning for science. But a challenge is knowing where to start. With this survey, we aim to address this, giving a broad overview of key deep learning methods and new advances. Thx! https://t.co/urc6aOljMT
— Eric Schmidt (@ericschmidt) March 27, 2020
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