The feedback process Jiang is beginning to describe for machine learning, where weights are adjusted according to output error. The feedback process Jiang says underlies AI and is later relabeled as deep learning and neural networks.
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back propagation
A transcript-matched topic anchored by excerpts such as "Let's just say you have like a billion faces one billion faces. Now what you're trying to do is you're trying to differentiate these..."
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A transcript-matched topic anchored by excerpts such as "Let's just say you have like a billion faces one billion faces. Now what you're trying to do is you're trying to differentiate these..."
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"Let's just say you have like a billion faces one billion faces. Now what you're trying to do is you're trying to differentiate these..."
"...to match up with their names. Alright? And we call this back propagation. And that's how AI works. And that's all it does. Okay?..."
"...and the way I do that is using my technique called back propagation so what so I control the input okay the input then..."
"...a neural network guys it's a brain it's magic okay and back propagation I don't call it back propagation I call it deep learning..."
"...is the last ethnically Chinese dynasty committed to the protection and propagation of Chinese culture. The Tang Dynasty, the founders, the Li family, they're..."
Relevant Lectures And Readings
The lecture starts by warning against overconfident certainty, then rewires from literary method to a hard model of AI: today’s systems are pattern-fitters optimized for compliance, so power becomes control over what counts as...
China had the technologies that made modernity possible, then built a political culture that made those technologies inert.
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