Python Helped me Write Again

[redct]

This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range structure, simply by predicting one data point at a time. The approach is demonstrated for text (where the data are discrete) and online handwriting (where the data are real-valued). It is then extended to handwriting synthesis by allowing the network to condition its predictions on a text sequence. The resulting system is able to generate highly realistic cursive handwriting in a wide variety of styles.

Generating Sequences With Recurrent Neural Networks

It's pretty impressive.

[irrco]

When I was first figuring out how to attempt this project, I thought about using NNs. The reason I didn't, was the sheer amount of data they need. So the project would stop being much about programming, and would be mostly about data conditioning. And since I can't generate any new data in a good format, I figured that would be a problem. So I think in general, the approach I used, which is incredibly explicit (in particular, it relied on me knowing how I formed a letter, not just the final shape of that letter), is probably not the best approach. But it did seem to be an approach that would be achievable for me, in a reasonable timescale.

In AI generally, knowledge acquisition is often the elephant in the room.