Fei Fei Li

So he created WordNet, which hierarchically organized concept according to meaning and similarity rather than alphabetical ordering.

That was ConvNet, Convolutional Neural Network.

That was ConvNet, Convolutional Neural Network.

That was ConvNet, Convolutional Neural Network.

So that was Young-Kung's work in Bell Labs. That was an early application of neural network in the 1980s and 1990s, where that neural network at that time was not very powerful, but But giving enough training example of digits, the scientists in Bell Labs were able to read from zero to nine or the 26 letters. And with that, they created an application to read zip codes to sort mail.

So that was Young-Kung's work in Bell Labs. That was an early application of neural network in the 1980s and 1990s, where that neural network at that time was not very powerful, but But giving enough training example of digits, the scientists in Bell Labs were able to read from zero to nine or the 26 letters. And with that, they created an application to read zip codes to sort mail.

So that was Young-Kung's work in Bell Labs. That was an early application of neural network in the 1980s and 1990s, where that neural network at that time was not very powerful, but But giving enough training example of digits, the scientists in Bell Labs were able to read from zero to nine or the 26 letters. And with that, they created an application to read zip codes to sort mail.

It was a lot of handwritten digits.

It was a lot of handwritten digits.

It was a lot of handwritten digits.

That data set was probably tens of thousands of examples, but we're talking about just letters and digits.

That data set was probably tens of thousands of examples, but we're talking about just letters and digits.

That data set was probably tens of thousands of examples, but we're talking about just letters and digits.

Exactly.

Exactly.

Exactly.

So I think what you were referring to was the process of making ImageNet, right?

So I think what you were referring to was the process of making ImageNet, right?

So I think what you were referring to was the process of making ImageNet, right?

And that process was once we realized, thanks to the inspiration of WordNet and also Biedermann's number and also many other previous inspiration, we realized what computers really need is big data. And that was so common today because everybody talks about big data, you know, OpenAI talks about big data. But back in 2006, 2006, 2007, that was not a concept.