Understanding Convolution in Tensorflow

This is a quick post intended to help those trying to understand convolution as applied in Tensorflow. There are many good blog posts on the Internet explaining convolution as applied in convolutional neural networks (CNNs), e.g. see this one by Denny Britz. However, understanding the theory in one thing, knowing how to implement it is … Continue reading Understanding Convolution in Tensorflow →

Practical Problems with Natural Language Processing

Recently I've been playing around with the last 15 years of patent publications as a 'big data' source. This includes over 4 million individual documents. Here I thought I'd highlight some problems I faced. I found that a lot of academic papers tend to ignore or otherwise bypass this stuff.