Age, Biography and Wiki
Quoc V. Le (Lê Viết Quốc) was born on 1982 in Hương Thủy, Thừa Thiên Huế, Vietnam, is a Vietnamese-American computer scientist. Discover Quoc V. Le's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 42 years old?
| Popular As |
Lê Viết Quốc |
| Occupation |
N/A |
| Age |
42 years old |
| Zodiac Sign |
N/A |
| Born |
|
| Birthday |
|
| Birthplace |
Hương Thủy, Thừa Thiên Huế, Vietnam |
| Nationality |
Vietnam
|
We recommend you to check the complete list of Famous People born on .
He is a member of famous Computer with the age 42 years old group.
Quoc V. Le Height, Weight & Measurements
At 42 years old, Quoc V. Le height not available right now. We will update Quoc V. Le's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
| Physical Status |
| Height |
Not Available |
| Weight |
Not Available |
| Body Measurements |
Not Available |
| Eye Color |
Not Available |
| Hair Color |
Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
| Family |
| Parents |
Not Available |
| Wife |
Not Available |
| Sibling |
Not Available |
| Children |
Not Available |
Quoc V. Le Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Quoc V. Le worth at the age of 42 years old? Quoc V. Le’s income source is mostly from being a successful Computer. He is from Vietnam. We have estimated Quoc V. Le's net worth, money, salary, income, and assets.
| Net Worth in 2024 |
$1 Million - $5 Million |
| Salary in 2024 |
Under Review |
| Net Worth in 2023 |
Pending |
| Salary in 2023 |
Under Review |
| House |
Not Available |
| Cars |
Not Available |
| Source of Income |
Computer |
Quoc V. Le Social Network
| Instagram |
|
| Linkedin |
|
| Twitter |
|
| Facebook |
|
| Wikipedia |
|
| Imdb |
|
Timeline
Lê Viết Quốc (born 1982), or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with others from Google.
He co-invented the doc2vec and seq2seq models in natural language processing.
Le also initiated and lead the AutoML initiative at Google Brain, including the proposal of neural architecture search.
Le was born in Hương Thủy in the Thừa Thiên Huế province of Vietnam.
He studied at Quốc Học Huế High School.
In 2004, Le moved to Australia and attended Australian National University for Bachelor's program, during which he worked under Alex Smola on Kernel method in machine learning.
In 2007, Le moved to Stanford University for graduate studies in computer science, where his PhD advisor was Andrew Ng.
In 2011, Le became a founding member of Google Brain along with his then PhD advisor Andrew Ng, Google Fellow Jeff Dean and Google researcher Greg Corrado.
Le led Google Brain's first major discovery, a deep learning algorithm trained on 16,000 CPU cores, which learned to recognize cats after watching only YouTube videos, and without ever having been told what a "cat" is.
In the same year, Tomáš Mikolov and Le proposed the doc2vec model for representation learning of documents.
Le is among the lead authors and researchers of Google Neural Machine Translation.
Le initiated and lead the AutoML project at Google Brain, including the proposal of neural architecture search.
Le was named MIT Technology Review's innovators under 35 in 2014.
He has been interviewed by and his research has been reported in major media outlets including Wired, the New York Times, the Atlantic, and the MIT Technology Review.
Le was named an Alumni Laureate of the Australian National University School of Computing in 2022.
Le is among the authors of LaMDA, a conversational large language model, originally developed and introduced as Meena in 2020.
In 2022, Le and co-authors proposed chain-of-thought prompting as a method to improve the reasoning ability of large language models.
