Character based RNN

This is one of my first attempts at an RNN. It was inspired by Andrej Kapathy's blog post.

Sources

I used this project to teach myself how to use Tensorflow and LSTM's in general. Because of this, I went through a lot of online tutorials which, in turn inspired parts of my code. Below is an incomplete list of the sources that I used in developing this project.

• The Nerual Perspective
• The Unreasonable Effectiveness of Recurrent Neural Networks
• TensorFlow RNN Tutorial

Requirements and Running

Requires python3, tensorflow. It will run better if you have a gpu and use tensorflow-gpu.

To train the network, edit the main file my_rnn.py to set:

train = True

restart = True

This tells the network not to load a checkpoint and re-generate the vocabulary file.

Run using: $ python3 my_rnn.py

The model must be trained first so that there is a checkpoint to load.

TODO:

• Add command line flags for sampling, temperature etc.
• More code comments
• Test on CPU only machine