A chatbot based on Deep Learning. Mainly for proof of concept, not for production.
$ python app/train.py --help
usage: train.py [-h] [--use-attention] [--num-steps NUM_STEPS]
[--write-summary] [--tag TAG]
Windbag trainer.
optional arguments:
-h, --help show this help message and exit
--use-attention Flag of whether to use attention.
--num-steps NUM_STEPS
Number of steps.
--write-summary Flag of whether to write summaries.
--tag TAG Tag of experiment.
This project is inspired by Stanford CS20si assignment 3.
The implementation refer to Google Seq2Seq project.