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Andrej Karpathy on the visionary AI in Tesla's autonomous driving
The Robot Brains Podcast
Scaling Up Neural Networks in Deep Learning
A recurring theme in deep learning is large data, but also large compute. When I try to think about the data you're feeding into the system, how much data is that? A bigger network will almost always work better, but it needs more training time. The algorithm now is known, everyone knows the same algorithms and we just need to run them at scale.
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