Building intelligent applications with deep learning and TensorFlow

#deeplearning in production @Google → a conversation w/ @TensorFlo co-creator @rajatmonga

  • Finally last year, we started to experiment and try to understand what’s happening, and as part of that, we realized if we could do synchronous well, it actually is better .
  • At Google, I would say there are the machine learning researchers who are pushing machine learning research, then there are data scientists who are focusing on applying machine learning to their problems …
  • Ben Lorica is the Chief Data Scientist and Director of Content Strategy for Data at O’Reilly Media, Inc.
  • There’s not going to be too many areas left that run without machine learning that you can program.
  • For somebody who is not familiar with deep learning, my suggestion would be to start from an example that is closest to your problem, and then try to adapt it to your problem.

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@bigdata: “#deeplearning in production @Google → a conversation w/ @TensorFlo co-creator @rajatmonga”


The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks.


Building intelligent applications with deep learning and TensorFlow

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