Credit
This project was forked from https://github.com/martin-gorner/tensorflow-rnn-shakespeare
assume all code is attributed to and owned by Martin Gorner.
Original Code And Presentation
Code for the Recurrent Neural Network in the presentation "Tensorflow and deep learning - without a PhD, Part 2"
The presentation itself is available here:
This sample has now been updated for Tensorflow 1.1. Please make sure you redownload the checkpoint files if you use rnn_play.py.
Usage:
To Train
Step 1 - Train on Twitter Data
$ python3 rnn_train.py
This will train the model and save it with checkpoint files.
After training, you can see what the model outputs by using
$ python3 rnn_play.py
You will need to replace the files with your checkpoint files.
Step 2 - Train on pickup line data
$ python3 rnn_retrain.py
You will need to replace the checkpoint file names for this to work.
To Play
Point to the correct checkpoint files and do
$ python3 rnn_play.py
Each training session will generate saved checkpoints as well as save a final model when it has finished. you can monitor the progress using Tensorboard
$ tensorboard --logdir="your/log/path"