Danh ngôn của Jeff Dean
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
Trước đây, chúng ta có thể sử dụng máy học trong một số thành phần phụ của hệ thống. Hiện tại, chúng tôi thực sự sử dụng máy học để thay thế toàn bộ bộ hệ thống, thay vì cố gắng tạo ra mô hình máy học tốt hơn cho từng bộ phận.
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Các câu danh ngôn khác của cùng tác giả: Jeff Dean
- I think that is one of the main goals of pushing forward in machine learning: having computers provide the wisdom that a human companion would be able to provide in offering advice, looking up more information when necessary and those kinds of things.
- I think true artificial general intelligence would be a system that is able to perform human-level reasoning, understanding, and accomplishing of complicated tasks.
- In order to reason, you need a network to be able to bring in knowledge from several different areas, such as math, science, and philosophy, to reach reasonable conclusions on what it's been tasked with.
- The idea behind reinforcement learning is you don't necessarily know the actions you might take, so you explore the sequence of actions you should take by taking one that you think is a good idea and then observing how the world reacts. Like in a board game where you can react to how your opponent plays.
- I think one of the things about reinforcement learning is that it tends to require exploration. So using it in the context of physical systems is somewhat hard.
Các câu danh ngôn khác của cùng chuyên mục: Learning
- I just feel like I'm becoming a better person. My music is just getting better. Learning the game better, learning how to move, learning how to create - everything's just growing.
- The journey that I have undertaken, meeting people from all walks of life and learning from them, has been my biggest achievement.
- The big thing is, it's about learning which off-speed pitches to swing at. A lot of people say, 'Oh, this guy can't hit a curveball; this guy can't hit an off-speed pitch.' But it's about swinging at the right one. Swing at the hangers. Swing at the ones you can handle.
- The original idea before Mint was a life and goal planning system I called Carpe Viva. The idea was that all of life's goals, from buying a house, getting an MBA, or learning Spanish could be quantified in both time and money.
- I got to know Elton John's older music by learning to like his newer stuff. 'The Lion King?' That's what I like.