• Dataset
  • Tensorflow dataset (in MNIST, Alpha/Digits)
  • Keras dataset (in MNIST )
  • Real-world dataset (in Traffic Signs)
• ImageDataGenerarator
  • Raw (in Traffic Signs)
  • Directory-based (in Horse vs. People, Cat vs. Dog)
• Transfer Learning (feature-based)
  • Keras Model Instance (in Horse vs. People)
  • TF-Hub (in Cat vs. Dog)

• Text Classification (in Sarcasm Detection, Sentiment Analysis)
• Text Generation (in Script Generating)
• Transfer Learning
  • TF-Hub (in Sentiment Analysis)

• Sliding Windows (in Sunspot Forecasting)

So, it's September 29th now. I'm taking the exam tomorrow. My biggest gratitude goes to thầy Ngọc, bạn Thành trợ giảng and other "classmates" for helping me revising for this exam.

Just a few notes to myself:

• Stay calm.
• "It can be good, it can be bad. But at the end of the day, it's always good."

So just do your best <3 I'm proud of you.