That’s right, Baidu has launched NLP Open Source Chinese Course! Top with teachers, model full open source, with V100 computing power that kind!
The most practical NLP Chinese class to come
Natural language processing (NLP) is one of the key areas of artificial intelligence, which aims to teach computers to understand and generate language.
In order to further promote the popularization and continuous progress of NLP technology, promote industrial upgrading, and adhere to the principle of open source, Baidu PaddlePaddle and Natural Language Processing Department jointly created this “Deep Learning Based Natural Language Processing” Clock-in Camp course for NLP entry-level developers.
Based on the principle of practicality, this course covers the basic knowledge of pre-training, lexical analysis, information extraction, as well as NLP application techniques and systems such as sentiment analysis, question and answer, translation, dialogue, etc., and explains the model deployment in industry practice.
In addition, this course is equipped with a complete set of hands-on content. In the practical section, we provide the PaddlenLP text domain development library, the Ernie text development kit and the Thousand Words data set, in order to better help students to use what they have learned.
“Real knowledge comes from practice”. The course is equipped with rich practice links, daily practical assignments, on-site coding+ Trick experience sharing by the instructor, multi-theme NLP competitions and pre-competition guidance are released, and more open projects, such as building a small NLP dialogue and translation system by yourself, are available for you to challenge!
Believe that the output is the input.
In addition, for the convenience of students from different regions and different hardware conditions in China, this course is free of charge, live teaching and online practice environment (V100 GPU computing support is provided).
Detailed content, learning for practical use
This camp will focus on the text data to explain, from the pre-training model, lexical analysis and other important basic technical knowledge, gradually begin to explain the core application technology, and to guide the relevant frontier work.
An introduction to
- June 7th | enters natural language processing
basis
- Before the June 8 | since the supervised learning in the process of the training time
- On June 9, | training language model and its application
- On June 10, | lexical analysis technique and its application
understand
- | information extraction technology and application
- June 15, | Sentiment Analysis Techniques and Applications
Question and answer
- June 16th | retrieval text Q&A
- June 17th | Structured Data Question and Answer
translation
- | text translation technology and application
- | machine simultaneous transmission technology and application
dialogue
- June 22nd | task type dialog system
- June 23rd | open domain dialog system
Industry practice
- June 24th | pre-training model industry practice class
“Camp
- June 25, | completion award and open question guidance
- July 26th | open question list to share with students
Top qualified teachers, take you to fight!
The instructor team of this course is composed of senior engineers from Baidu NLP and flying OARS, who have rich research and practical experience. In this course, they will guide students to learn and master the basic concepts, methods, principles and applications of natural language processing from their respective professional perspectives.
Baidu NLP team is a world-class NLP team. With the mission of “understanding language, being intelligent and changing the world”, Baidu NLP team develops core technologies of natural language processing and machine learning, builds leading technology platforms and products to serve users and customers around the world. Baidu NLP has won more than 20 awards, including the National Science and Technology Progress Award, more than 30 champions of international competitions, applied for more than 1,000 invention patents and published more than 100 papers, which have been widely recognized.
Baidu Flying Par is China’s first industry-level deep learning platform with open source, advanced technology and complete functions. This course can be practiced on the fly paddle open source platform,Open source code for all practices is available in the PaddlenLP Open Source Model Library and the Ernie Development Kit Open Source Edition.
Anyway, there’s a group of people trying to teach this NLP open source class.
Multiple rewards, waiting for you!
Certificate + computing power: Upon successful completion of the course, you can obtain the official graduation certificate issued by Baidu + a Tesla V100 GPU computing card for 100 hours;
Scholarship: Top10 will get 500 yuan scholarship, Top20 200 yuan scholarship, Top50 100 yuan scholarship;
Exquisite Gift: Complete any open questions or complete the designated NLP competition and rank in the top 50 in the total list, you will get a monthly super member card of Baidu Network Drive +100 hours of Tesla V100 GPU computing card;
Sincerity + strength, pay tribute to open source together: Excellent original code open source to Github, you can get Cherry mechanical keyboard.
[Start time]
June 7-25 20:30-21:30 PM! Waiting for you in the studio!
[Registration Method]
Scan the code and follow the official account of Baidu NLP, reply to [Baidu NLP], and sign up for courses.
[write at the end]
“The best time to plant a tree was ten years ago, and the second best time is now.” – Dambisa Moyo
In the best time, Baidu fully invested in the field of NLP planted saplings already flourishing; Now, we hope to help you who are interested in NLP to plant your own technology saplings through education, and work together to build a vibrant technology ecology Made in China.
Baidu Natural Language Processing (NLP) takes “understanding Language, being intelligent and changing the world” as its mission. It develops core technologies of Natural Language Processing, builds a leading technology platform and innovative products, serves global users and makes the complex world simpler.