In my continuing exploration of generative adversarial networks, I found “The Painting Dataset” and wrote a short script to extract the images from it. Only about 1200 paintings seems to be valid, but it is at least something.
Generating song lyrics using neural networks… that sounds cool! Those were my thoughts on an evening in the recent past, so I started experimenting with the idea. I decided to name the neural network that came out of this project Gene Lyrica One, a very AI-sounding name (it is “the year of AI” after all).… Continue reading Hello World is a Dream
One of the great things about the Internet is that people create all sorts of silly, but interesting, stuff. I was recently fascinated by a deep learning project where an app can classify images as “hotdog” or “not hotdog”. The project was itself inspired by a fictional app that appears in HBO’s show Silicon Valley,… Continue reading Is it Mila?
This post is mostly a status of what I have been up to here at the nearly-almost-half-year mark of 2016. Introducing Product Search By the end of 2015, we had already been using Elasticsearch for a while. It was the first part of a long-term strategy of moving data away from Google App Engine. Event… Continue reading Golang and the search of the past
This post is about Antecons, a product recommendation engine, now part of Conversio. Antecons is no longer commercially available, but I have kept my developer diary on my website with permission. Today, we have published an improvement for the Antecons recommendation algorithm. In the beginning, recommendations were based on an analysis of order data for… Continue reading More data, better recommendations