A Quote by Andrew Ng

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation. — © Andrew Ng
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning.
Deep learning allows you to create predictive models at a level of quality and sophistication that was previously out of reach. And so deep learning also enhances the product function of data science because it can generate new product opportunities.
The gospel is unintelligible to most people today, especially in the West, because their own particular stories are remote from the story of creation, fall, redemption, and consummation that is narrated in the Bible. Our focus is introspective and narrow, confided to our own immediate knowledge, experience, and intuition. Trying desperately to get others, including God, to make us happy, we cannot seem to catch a glimpse of the real story that gives us a meaningful role.
The emergence of open Internet protocols for value exchange, today led by the global adoption of Bitcoin's blockchain, paves the way for value to move as freely as information and data move on the Internet today.
There's no true value placed in learning, if the point of you learning something is to simply know it for a test, to get a grade, to go to the good school.
If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.
I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.
Despite the value of open data, most labs make no systematic effort to share data with other scientists.
Today is an opportunity to do something positive. Today is your chance to add new value to your life and to your world. Make the commitment to fill this day with meaningful richness and purposeful effort. This is your day to live, so do so with vigor and enthusiasm.
When you have a large amount of data that is labeled so a computer knows what it means, and you have a large amount of computing power, and you're trying to find patterns in that data, we've found that deep learning is unbeatable.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Machine learning and artificial intelligence applications are proving to be especially useful in the ocean, where there is both so much data - big surfaces, deep depths - and not enough data - it is too expensive and not necessarily useful to collect samples of any kind from all over.
The long-term value proposition for cellphone companies isn't just voice conversation - it's transfer of data.
Only when we have something to value, will we have something to evaluate.. and we cannot value something that we cannot share, exchange, and examine.
If the original Facebook was the first five minutes [of a conversation] and the stream was the next 15, what I want to show you today is the rest-the next few hours of a deep engaging conversation.
After macrobiotics, Zen, and channeling, the "poor Vanishing Indian" is once more the subject of "deep and meaningful conversation" in the high rises.
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