Course content
- Introduction
- Deep Learning and TensorFlow Fundamentals
- Neural network regression with TensorFlow
- Neural network classification in TensorFlow
- Computer Vision and Convolutional Neural Networks in TensorFlow
- Transfer Learning in TensorFlow Part 1: Feature extraction
- Transfer Learning in TensorFlow Part 2: Fine tuning
- Transfer Learning with TensorFlow Part 3: Scaling Up
- Milestone Project 1: Food Vision Big
- NLP Fundamentals in TensorFlow
- Milestone Project 2: SkimLit
- Time Series fundamentals in TensorFIow + Milestone Project 3: BitPredict
- Passing the TensorFlow Developer Certificate Exam
- Where To Go From Here?
- Appendix: Machine Learning Primer
- Appendix: Machine Learning and Data Science Framework
- Appendix: Pandas for Data Analysis
- Appendix: NumPy
- BONUS SECTION