A Quote by Andrew Ng

I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.
One of my relatives had been asking me on how he could break into AI. For him to learn AI - deep-learning, technically - a lot of facts exist on the Internet, but it is difficult for someone to go and read the right combination of research papers and find blog posts and YouTube videos and figure out themselves on how to learn deep-learning.
When I was in high school in England, I wasn't sure that you could have a career in fashion. In those days, there were very few fashion magazines. I didn't realize there was a school where you could go and learn how to make clothes and design. I thought you just had to be discovered somewhere, like a film.
The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.
The summer after high school, I got a TASCAM because I had been writing a lot and thought it would be cool if I recorded stuff not just on my phone.
Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.
I would start by writing to an adult, maybe a high school teacher, or maybe an aunt or uncle, and writing and telling them why you want to go to a particular university. That's probably what you would actually sound like. Then write your letter to the university, and put those 2 versions in front of you, and look at the difference between those 2 things.
It was not until the end of my freshman year in high school that I thought I could really have a future in track and field. I definitely did not think I could make it to the Olympics back then, though; I was just focused on making it to the state finals!
I didn't start writing songs, honestly, until I started making my album. I was always doing poetry, but I never thought I could write songs. I discouraged myself and thought it was so hard. But starting this process and learning just what it is to be a songwriter and performer taught me that you don't have to feel discouraged about anything.
AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.
When I was a kid it was like, who could be the coolest? Who could do the stupidest thing? And you knew it was a stupid thing to do, but you would do it just so you could be the coolest guy. And then you end up doing really cruel crap.
Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.
I hadn't really thought about the kind of music I wanted to make. I was just making raps and stuff. I thought that was the coolest thing in the world.
I thought I could never write a proper book; I'd never done it before. But I thought I could write a sequence. Then I had a chapter. The next thing I knew I was turning acting down.
I never thought that I could make a living out of my voice, to be completely honest. I thought that I could probably keep playing pubs. And it was exciting for me to get even just a pub gig in my town or country, when I went to university.
I worked in a number of high schools in New York, and I wound up at Stuyvesant High School, which is known nationally for producing brilliant scientists and mathematicians, but I had writing classes. I thought I was teaching. They thought I was teaching, but I was learning.
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