NLP 4 day charging plan takes you to learn BERT model

Hello, I am Zhang Nan, an NLP algorithm engineer.

After years of work experience, whether an NLP algorithm engineer is qualified or not includes the following points:

1. Engineering ability: model selection, design and development, project deployment and monitoring.

2. Model optimization ability: add artificial features, optimize data sets, and adjust parameters.

3. Cutting-edge technology tracking ability: Insist on reading and understanding papers.

In the process of learning the NLP algorithm, you will encounter the following problems:

How to use BERT model?

How can you achieve Bert’s performance with a fast small model?

Should we use GPUserving or CPUserving?

I believe you must have these thoughts, and then find a lot of channels to learn, adhere to a period of time but often not up to expectations. Learning technology itself is not a difficult thing, but it is difficult to find the right learning methods and channels, if you want to:

Breaking down the resume barrier – real project experience enhancement;

Break fragmented knowledge learning habits – lead to waste of time;

Use “code” to interact — get hands-on with real AI projects;

“Discard” copy – ability to handle business independently;

Read through a paper you need – knowledge iteration ability.

Before joining the AI technology charging program of Houchang Institute of Technology, Dachang’s first-line algorithm engineers created “NLP BERT Model Analysis + Project Practical Operation Experience Course”, which lasts for 4 days. NOTE style teaching method, you can enjoy high-quality learning resources alone!

Students who want to know about the NLP BERT Model Analysis + Project Operation experience course take the opportunity to scan the qr code below for details ~

Hvac institute of Technology offers premium 9.8 experience class

(Limited to 200 persons)

Scan the QR code to learn more! ~

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NLP direction BERT model analysis + project practical operation experience course

4 day charge plan

DAY1 NLP-BERT model helps you solve:

  • Preliminary Understanding of model
  • Model core framework construction method

DAY2 Paper intensive reading helps you solve:

  • Analysis of annotations to the original paper
  • The practical application scenario of the thesis

DAY3 “code” interactive exchange helps you solve: \

  • Practical operation code to submit online guidance tutor
  • Real projects enrich workplace experience

DAY4 Big homework correction feedback:

  • Gain independent hands-on business experience
  • Tutor online advice and guidance

Course harvest

This course addresses the following questions:

1. Increase practical experience in real projects

2. Improve the ability of model selection and optimization

3. Improve the ability to understand and use the paper

4. Provide a good learning community

The course characteristic

The application of BERT principle in knowledge graph project was deeply explained to students through real scenario-based actual combat project. The interactive NOTE course was adopted to lead students to disassemble knowledge points in actual combat project. Students could submit their own actual combat codes while learning knowledge points.

Feature 1: New teaching forms-Note teaching mode: no video courses, pure text + notes teaching, convenient and reasonable arrangement of learning time;

Feature 2: code driven: actual combat project development, online submission of modified code, continuous iteration of the course after purchase, update content can be enjoyed forever;

Feature 3: Community operation services: centralized q&A, homework guidance

Course Development Team

Course practice platform

Online integrated learning and training community, help the learning process!

Hvac institute of Technology offers premium 9.8 experience class

(Limited to 200 persons)

The 4-day course includes the following contents:

If you want to know about the experience class, please scan the qr code below for more details

NLP direction BERT model analysis

+

Project practical operation experience course

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Scan now to experience????

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