Chat Bot With PyTorch - NLP And Deep Learning - Python Tutorial (Part 4)

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:

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[Vic]

Thanks for this! I watched the whole series and enjoyed it! Quality content!

[TheNishi]

Thank you so much, enjoyed entire chatbot series. Kudos for the content👍

[Geek]

Thank you for going above and beyond, I couldn't have done it without you.

[anthonyamabile]

The man! Very helpful that you explain as you go. Thanks for sharing! God bless you.

[kisunyoon]

This channel deserves a million subscribers.

[myqrizzo]

Enjoyed the tutorials. Thanks for posting them.

[aaryanpoudel]

Thank You. After debugging the error in part 3, everything works as intended.

[abdulalimbaig]

This was an excellent tutorial, it was nice to go through and implement. Its complex to understand though.

[dawitberhe]

This Tutorial series of the chatbot really helped me alot. Thanks very much!!!<3

[mariosconstantinou]

Hi! Thank you for this amazing series! Is it possible to make a part 5 were we add context to our chatbot so it can decide what response to give?

[rninchan]

easily liked and subscribed; thank you for this tutorial! It was easy to follow, and I really appreciated the theory/abstract explanations along the way. Loved how concise and straight to the point it was. Looking forward to more of your content!

[piumalsahashraka]

Very well explained, easy to understand. Thank you <3

[nwokolobueze]

Subscribed and notification turned on! I am now learning your pyTorch tutorial.

[TechnGizmos]

Hello friend! It felt great to come back to this channel and learn how to make a simple chatbot system. The ideas from your Beginner Pytorch tutorial resurfaced in my mind and made perfect sense while implementing this little project. Actually, I have developed an interest in dialog systems and wanted to know whether commercial chatbot systems are implemented in a similar way as the model you've used.
If not, what are the additional components required to create a robust chatbot that can converse with empathic responses and keep track of what was said before?
Thanks for the great tutorial!! It gave me more questions to think about XD

[spidermanman]

Best video sir! I just got a lot of knowledge from these videos. Thank you sir!

[peteralexander]

Super Fantastisch channel! Please keep up the great work.

[scholar]

Very well explained and also helpful, , thanks

[xblzjcx]

thanks for making this so easy you're amazing

[maazhamed]

best tutorial on youtube, thank you so much

[dxrules]

thank you, this was a really good basic example for beginners, i found it very useful.