Digests » 25
What follows is a list of papers in deep RL that are worth reading. This is far from comprehensive, but should provide a useful starting point for someone looking to do research in the field.
This repository contains TensorFlow code for the paper titled Single Image Haze Removal using a Generative Adversarial Network.
Simply put, the mission of this project is to colorize and restore old images. I'll get into the details in a bit, but first let's get to the pictures! BTW – most of these source images originally came from the r/TheWayWeWere subreddit, so credit to them for finding such great photos.
Lately, I spent some time on various data science projects: predictive analysis, natural language processing, graph analysis, etc. Behind the scene, they all share the same machine learning algorithms. Of course, those models barely represent 10 lines of code in my notebooks, thanks to the wonderful open-source libraries accessible today.
Cameras are routinely seized as evidence during criminal investigations . Images of people retrieved from these cameras may be used to piece together networks of associates, or to link individuals to particular locations. In particular, it may be desirable to identify the photographer, or other individuals who were present at the scene but were not directly captured in the photograph.