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If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you
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Jeff Dean:
There's a lot of work in machine learning systems that is not actually machine learning.Jeff Dean:
I've always liked code that runs fast.Jeff Dean:
In a lot of these areas, from machine translation to search quality, you're always trying to balancJeff Dean:
Some things are easier to parrellelize than others. It's pretty easy to train up 100 models and picJeff Dean:
It's nice to have short-term to medium-term things that we can apply and see real change in our proJeff Dean:
We're training Google Street View to recognize street numbers.Jeff Dean:
Vision I think is going to be an important input. Like, if you're using Google Glass, it's going toJeff Dean:
We want to build systems that can generalize to a new task. Being able to do things with much lessJeff Dean:
We're happy to work with military or other government agencies in ways that are consistent with ourJeff Dean:
I am concerned in general about carbon emissions and machine learning.