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The plummeting cost of deep learning silicon

Discussion in 'Autonomous Vehicles' started by strangecosmos, Sep 12, 2018.

  1. strangecosmos

    strangecosmos Non-Member

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    Brett Winton on Twitter:

    Bodes well for the 2019 deep learning hardware that Tesla is going to put in Hardware 2 cars.
     
  2. strangecosmos

    strangecosmos Non-Member

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    Fascinating and exciting that Tesla is taking a bet on big data sets (requiring production fleet learning) and big neural networks (requiring ~100 tera-ops of processing power). If you want to increase the capabilities of deep learning, bigger data sets and bigger neural networks are exactly what you want. No one else in the world is trying to train neural networks on billions of miles of driving data. Waymo only has ~10 million miles of data. Tesla is taking this two orders of magnitude higher over the next year, then three orders of magnitude higher in the following years.

    This approach is not guaranteed to work. Deep learning could yet fail us. But the preliminary results are really encouraging. On certain narrow tasks, deep learning is already superhuman.

    I’m excited for Autopilot v9. Could that be the inflection point where Tesla’s strategy is publicly vindicated?
     

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