In this Python Tutorial we build a simple chatbot using PyTorch and Deep Learning. I will also provide an introduction to some basic Natural Language Processing (NLP) techniques.
1) Theory + NLP concepts (Stemming, Tokenization, bag of words)
2) Create training data
3) PyTorch model and training
4) Save/load model and implement the chat
Resource:
This tutorial was inspired and adapted from the following article:
"Contextual Chatbots with Tensorflow": [ Ссылка ]
✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: [ Ссылка ] *
📚 Get my FREE NumPy Handbook:
[ Ссылка ]
📓 Notebooks available on Patreon:
[ Ссылка ]
⭐ Join Our Discord : [ Ссылка ]
If you enjoyed this video, please subscribe to the channel!
NLTK:
[ Ссылка ]
You can find the code on GitHub:
[ Ссылка ]
PyTorch Beginner Course:
[ Ссылка ]
Please checkout my website to see all tutorials:
[ Ссылка ]
You can find me here:
Twitter: [ Ссылка ]
GitHub: [ Ссылка ]
Icons:
[ Ссылка ]
[ Ссылка ]
#PyTorch #NLP #DeepLearning
----------------------------------------------------------------------------------------------------------
* This is a sponsored or an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
![](https://s2.save4k.ru/pic/k1SzvvFtl4w/maxresdefault.jpg)