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Tensorflow Chatbot

Tensorflow Chatbot Demo by @Sirajology on Youtube

Overview

This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.

Dependencies

Use pip to install any missing dependencies

Usage

To train the bot, edit the seq2seq.ini file so that mode is set to train like so

mode = train

then run the code like so

python execute.py

To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so

mode = test

then run the code like so

python execute.py

Challenge

The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!

Due date: December 8th

Also see this issue, some people have found this discussion helpful #3

Credits

Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.

About

Tensorflow chatbot demo by @Sirajology on Youtube

Resources

Readme
Activity

Stars

1.4k stars

Watchers

94 watching

Forks

783 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
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Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
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Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
Skip to content
BranchesTags
Repository files navigation
Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
Skip to content
BranchesTags
Repository files navigation
Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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var __re = new RegExp('^' + ".*" + '
GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
Skip to content
BranchesTags
Repository files navigation
Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
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Repository files navigation
Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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GitHub - llSourcell/tensorflow_chatbot: Tensorflow chatbot demo by @Sirajology on Youtube · GitHub
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Tensorflow Chatbot
Tensorflow Chatbot Demo by @Sirajology on Youtube
Overview
This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo code, we implement Tensorflows Sequence to Sequence model to train a
chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
Dependencies
Use pip to install any missing dependencies
Usage
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
Challenge
The challenge for this video is write an entirely different script using TF Learn to generate Lord of the Ring style sentences. Check out this very similar example, it uses TF Learn to generate Shakespeare-style sentences. Train your model on Lord of the rings text to do something similar! And play around with the hyperparameters to get a more accurate result. Post your GitHub link in the video comments and I'll judge it!
Due date: December 8th
Also see this issue, some people have found this discussion helpful
#3
Credits
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.
About
Tensorflow chatbot demo by @Sirajology on Youtube
Resources
Readme
Activity
Stars
1.4k stars
Watchers
94 watching
Forks
783 forks
Report repository
Releases
Packages
Used by
Contributors
Languages