Taming the Docker Blob

Or understanding how to best use Docker. Docker is a great way to build services with modular and changeable components without borking your server / computer. I like to think of Docker containers as a system version of Python's virtual environment - you can build a stack of services and applications through a Docker file, … Continue reading Taming the Docker Blob →

Sampling vs Prediction

Some things have recently been bugging me when applying deep learning models to natural language generation. This post contains my random thoughts on two of these: sampling and prediction. By writing this post, I hope to try to tease these apart in my head to help improve my natural language models. Sampling Sampling is the … Continue reading Sampling vs Prediction →