A Christmas books title generator
Based on the Christmsas books dataset, a language model is trained to generate new book titles. The model will learn, character by character. It will start with some baby-talk like:
koormcas yor rrtsterevey caromsdig whel cald the carding a bocket ard leever's fit lternifor christmas necrimen
After a few seconds of “learning”, it starts to write something with a bit of sense:
in the trevouut of christmas ques on lonemorneyhow to my christmas treee innmanceed and story ; twats a seutreait palgoit, a christmas gift
And after a 5 minutes, it is able to produce some original titles, like these ones:
christmas storm damage on the human heartsnap-dragons : a tale of christmas eve, and other poemsdeterioration of christmas holly in transit and song
The language model is based on an embedding layer and a Recurrent Neural Network (LSTM) which, based on the previous set of characters, will generate a new character until it predicts the special character, which represents that a title ends there.
The model has 3.7 million parameters.