We finally get an RNN working for the word embeddings model. The key is you supply single sentences to the model, not all the data at once!
Then I whipped up a semi-fake model to predict the season based on temperature. It really seems to like Autumn, but the important thing is that it's easy to run and understand. Built with a simple Long Short Term Memory model.