The Andrew Ng's Coursera courses are so good I'm just going to finish out all 5 courses in the Deep learning Specialization. This will give me the foundational knowledge I'm looking for while I do some small side projects to test some implementations and learning the tools. For my first project I'm going to implement the functionality of an AI Scribe. AI scribes are very popular in primary care right now so some knowledge of how they're implemented will be informative for me both educationally and for evaluating the privacy & security of these products at work.

Week 3 Material

• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization - Week 1
• Structuring Machine Learning Projects - Started week 1

I didn't do the "Try a basic image classifier (MNIST)/Tool: Google Colab" that ChatGPT suggested this week because regularization and dropout are covered in the first course above. Instead I spent time building a test server by setting up my gaming PC to dual boot Debian. I plan to start a separate blog posting on the AI Scribe implementation with details around the test environment.