主要方向
<br>1. Deep Learning 
<br>2. Natural Language Processing
<br>3. Research 
<br>4. Group discussion and report
<br>
<br>DL & NLP techniques:
<br>1. Deep learning fundamental (FFNN, CNN, RNN, Optimization)
<br>2. Deep learning advanced (Adversarial learning, bias & fairness)
<br>3. NLP fundamental: word representation (word2vec, BERT, and classification) 
<br>4. NLP advanced (sequence to sequence, transformer, )
<br>
<br>Every team will submit a proposal (2 pages) after the technique part and there will be a 
<br>"Spotlight & discussion" session (2 weeks) for presentation and discussion.
<br>
<br>Research strategies:
<br>1. Choosing a good topic ML research
<br>2. Positioning your research paper
<br>
<br>Writing strategies:
<br>1. Writing tools introduction
<br>2. Write an effective ti<x>tle
<br>3. Paper structure/organization
<br>4. How to sell the work
<br>5. How to select a track for submission