Summary of grad mentor/research group meeting:

<Topic of the meeting, who attended, who presented, what did you learn, your interaction with the professor, your tasks, and what questions are you left with>

Summary of team meeting:

• First team meeting
• We mainly discussed more about the details behind the research paper we are reading in class, then gathered the information we had to draw up a quick outline for our presentation on Monday

Summary of meeting with Chinmay:

Weekly goals:

• [x] Attend resarch group meeting and record attendance
• [x] Attend CS165B
• [x] Assignment: Teach yourself and your group
• [x] Assignment: Deeper reading of research paper

Accomplishments:

• Began watching some of the videos in Andrew Ng’s machine learning Coursera series (1.5 hour)
  • He talked mostly about the broad picture of machine learning and the difference between supervised and unsupervised learning as well as classifiers and regressors.
  • Helped to contextualize a lot of the things we’ve been learning in CS165B as well as the BERT research paper.

Details of how you accomplished your goals:

Wednesday (1.5 hours) for assignment teaching yourself:

ERSP Teaching Topic

Tuesday (1.5 hours) for CS165B and Andrew Ng course:

• Continued discussion of perceptron algorithm
  • Also discussed perceptron’s proof of convergence

Monday (2 hour) for deeper reading of research paper, and choose topic for presentation:

• Read some alternative sources to deepen my understanding of the bidirectional transformer architecture