README.md

Preparation for TF Certification Exam

1. Image Classification

• 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)

2. NLP

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

3. Time Series

• Sliding Windows (in Sunspot Forecasting)

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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.