Inspiration

I wanted to get new stories from Rick and Morty + learn a bunch of stuff about Recurrent Neural Networks.

What it does

The program trains on whatever text you give it and then generates text.

How I built it

I did not. I copied it from here: https://github.com/martin-gorner/tensorflow-rnn-shakespeare I just experimented with different training parameters, e.g.: Number of epochs, the percentage of dropoff, layers, sequence length.

Challenges I ran into

Taking too long to train :D Also it turns out 3 seasons it's not enough data. Choosing the right training parameters was also challenging.

What I learned

A few things about RNNs, and also I tried to use Flask to make this into a website.

What's next for Rick and Morty SEASON 4

I just want to read more about RNNs and find out how I can improve their efficiency and results.

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