Skip to content

jeremywood-ai/Chatbot_DNLP

Repository files navigation

Chatbot

This chatbot, which will soon need a name, will take on more capabilities and an aptitude to converse. How will I do this? My chatbot will have a Deep Learning for Natural Language Processing internally.

Deep Learning architecture and its organic algorithms greatly advance the language process. To keep this on a familiar level, this means deep learning attempts to understand and more naturally respond to better results.

Without going to far into the technical whitepapers in this discussion, my chatbot project was built in Python with TensorFlow and uses “cornell movie dialogs corpus."

Files

File Note
Chatbot.py Main file
Chatbot_checkpoint.py Modified script for Chatbot checckpoint evaluation
chatbot_weights.ckpt.index Weights file for training
chatbot_weights.ckpt.meta Metadata of weights
movie_line_conversations.zip Three files for training the chatbot

Note

This project required hours of training to begin chatting with the bot.

This is an academic course project with additional changes for use in my customized Anaconda environment, as part of SuperDataScience instruction found on Udemy 2019

About

Chatbot created to use Seq2Seq DNLP technique

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages