Original version by Sean Robertson https://github.com/spro/practical-pytorch
Adapted from https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html
demo_blanks.ipynb: Same as demo_filled.ipynb, but with blanks suitable for an in-class live coding session. Use Jupyter Notebook or Jupyter Lab to open.
demo_filled.ipynb: Worked example of a functional character-level RNN for classifying the language of names. Use Jupyter Notebook or Jupyter Lab to open.
demo_filled.py: Same as demo_filled.ipynb, but in Python format. Use a code editor or IDE to open.
demo_finished.py: Same as demo_filled.py, but with optimizer and TensorBoard integration. Use a code editor or IDE to open.
