Andrew Ng, thank you for joining me on Inside Tech.
Now, I first heard about you when you were at Google Brain.
So, 15 years ago or so,
you were one of a team of people pushing
what we then called machine learning,
just as it started to pivot from being big data to machine learning,
I think.
And the first big breakthrough that I remember hearing your name attached to
was when your team had used this machine learning technique
to teach a system to recognize a cat using YouTube videos
in just three days.
Now, that seems like a long time ago, right?
When I was leading the Google Brain project,
it was started based on one idea,
which is that if we built really big computers
and threw a lot of data at it,
it will learn interesting things.
Before starting Google Brain, when I was a professor at Stanford,
I had gotten these figures, this data showing that
when training AI models, neural networks or deep learning systems,