Improving Deep Neural Learning Networks (Part 2): Optimization Algorithms
- Amelia Nguyen
- 26 Mar 2026
Gradient descent is just the starting point — the real question is how fast and how reliably you can reach a good minimum.
Gradient descent is just the starting point — the real question is how fast and how reliably you can reach a good minimum.
From foundational Deep Learning training techniques to the algorithms powering modern Agentic AI. Part 1 of 4.
A practical guide to reproducible analysis pipeline.
I had a project that required a lot of work with Google Datastore. However, there is surprisingly few instructional materials for this part. So I hope my article could make the job easier!
This is a blog post for my first data analysis project: Spotify EDA, and also my first post featured on CodeX publication.