Skip to content

Latest commit

 

History

History
38 lines (31 loc) · 1.27 KB

README.md

File metadata and controls

38 lines (31 loc) · 1.27 KB
Raw

trump_char_rnn

Character-Level RNN to Generate Speech in the Style of Donald Trump

Authors

Zayd Hammoudeh (zayd@ucsc.edu)
Ben Sherman (bcsherma@ucsc.edu)

Course

CMPS242 - Machine Learning
University of California - Santa Cruz
Prof. Manfred Warmuth
Fall 2017

Summary

Character-level recurrent neural network that generates text in the style of Donald Trump.

Running the Program

  1. Python Version: 3.5.* or 3.6.*
  • The code was specifically tested on 3.5.3 and 3.6.3 (Anaconda build).
  1. Required Libraries
  • TensorFlow
  • Numpy
  • pickle
  • enum
  • logging
  • argparse
  1. Training the Learner
  • Run the file train.py. Default settings should be sufficient.
  • It will automatically checkpoint the model every two epochs.
  • We advise running at least 20 epochs (about 20 hours on our machine) to get an output of sufficient quality.
  1. Generating the Text
  • Run the file trump.py`. You must specify an input text seed and the character decision engine algorithm.
  • An example entry is:
    python3 trump.py --seed "We will make America " --decision 11

Note: For more details on the parameters for both train.py and trump.py, you can run the program with the flag --help.