This post briefly documents variations of optimization algorithms and best practices. It’s a summary of this source . Also this course note is helpful for a review.

Tricks in checking if a gradient is implemented correctly: use centered… Read more...

Techy

It took me a long while (~ 4 days?) to understand the theories of Variation autoencoder (VAE) and how to actually implement it. And it’s not entirely my fault, because:

  • The original paper (Auto-Encoding Variational Bayes) explains
Read more...

Techy

Introduction

I spent the last week of 2018 and the first week of 2019 preparing CityGML data for a machine learning project. In particular, I need to extract 3D point cloud representation of individual buildings in New York (and Berlin and Zurich)… Read more...

Techy