Comments (1)
The easiest would be training data of two lines per conversation, each line starting with '>'. For example:
> How many legs does a cow have?
> A cow has four legs.
> What color is a lemon?
> Lemons are yellow.
But, my repo is probably not the best architecture for simple Q&A without context being carried over between questions. You're probably better off looking at the Tensorflow tutorials for language translation ("seq2seq" models), and then thinking of it as translating questions into answers.
from chatbot-rnn.
Related Issues (20)
- Speed up inference HOT 1
- reddit_parse error HOT 1
- Using this bot on discord HOT 2
- Training on GPU? HOT 4
- Unable to run chatbot.py. Throwing error on tensorflow HOT 13
- Link to your pre trained not reachable HOT 3
- Unable to run chatbot.py.Getting an error
- Using the Pre-Trained Model for Regression
- Weird Unreadable Response HOT 2
- Error with reddit-parser HOT 123
- Issue with train.py - error loading data
- Question: HOT 1
- Even the checkpont file is in the correct directory it is not identifying it HOT 5
- Chatbot output russian chars issue HOT 1
- question chatbot HOT 2
- no module named tensorflow.contrib HOT 7
- requirements.txt HOT 1
- Parse Reddit Corpus in zip format
- Parse Reddit Corpus in zip format
- Can I delete old ckpt files when training?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from chatbot-rnn.