Can AI create art? We’re still far away from knowing what (if any) the limits of AI in the art world are, but a recent paper takes a sizeable step in that direction. The paper, A neural Algorithm of Artistic Style describes using deep neural networks to combine the content of one image with the style of another. This opens up incredible possibilities. An AI could be taught how to paint in the style of Picasso, but use your portrait of the subject. And, even cooler, another researcher developed an implementation using Torch and posted it on Github.
How can I convert my Jupyter Notebooks to Jekyll-ready blog posts in a single click? How do I streamline that process so that I can quickly fix typos, better explain topics, or add new ideas without the hassle of manually converting the notebooks to something more Jekyll-friendly? To answer this, I wrote a simple batch script that allows me to edit posts in Jupyter Notebooks and then post them as HTMLs. This is built for Windows and using Github Pages, which is what I use to host this blog.
This is a quick cheatsheet for stylizing Jekyll blog posts. Jekyll uses Markdown for formatting, so all the Markdown commands work in Jekyll. There are also some additional things one can do with Jekyll.
In Gathering text from Project Gutenberg we retrieved text from Project Gutenberg and built a couple of functions along the way to help. The functions make us more efficient, but what we really need is a class for this work. This will allow us to store and analyze many different texts very efficiently. Let’s build that.
Let’s take the previous analysis of a single text and formalize it so we can use it against many texts. From there we’ll explore light verb use across many texts.
Light verbs are verbs that have little meaning on their own, almost like filler verbs. While using light verbs in writing is certainly not wrong, writers need to be careful about using them too often. They can fill writing with fluff. Sentences with light verbs often contain nouns that could replace the light verb.
This notebook takes off from Visualize Parts of Speech 1, which ended with a visualization from a single text. In this notebook, we look at how to visually compare the part of speech usage in many texts.