The following are Daniel Bourke's (me) notes from going through the TensorFlow in Practice Specialization on Coursera in preparation for the TesnorFlow Developer Certification.

Full curriculum:

Getting TensorFlow Developer Certified Curriculum

Game plan: go through lectures, don't take many notes, focus on the practice. Code. Code. Code. I'm not focused on passing the Coursera course, more so getting skills to the pass the TensorFlow Developer Certification.

Key

• 🔑 = Major key, something to remember and come back to
• 📖 = Extra resource or reading
• 🚫 = Error/issue

Log

Start: May 11, 2020

Finish: May 27, 2020

There are four parts to the full Specialization:

1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning

   Started: May 11, 2020

   Finished: May 12, 2020

2. Computer vision with TensorFlow

   Started: May 13, 2020

   Finished: May 15, 2020

3. Natural language processing with TensorFlow

   Started: May 18, 2020

   Finished: May 21, 2020

4. Time series and structured data prediction with TensorFlow

   Started: May 22, 2020

   Finished: May 27, 2020

I'll work through each part at about 1 week per part.