MNISTのデータを用意する
./data/mnist/t10k-images-idx3-ubyte.gz
./data/mnist/t10k-labels-idx1-ubyte.gz
./data/mnist/train-images-idx3-ubyte.gz
./data/mnist/train-labels-idx1-ubyte.gz
python adversarial_autoencoders.py
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
adversarial_autoencoders's Introduction
adversarial_autoencoders's People
Contributors
Stargazers
Watchers
adversarial_autoencoders's Issues
Reproducing quantitative results
Hi supersaiakujin,
Thank you very much for the code. Appreciate your GIF visualizations in README.md very much.
My question is, have you been able to reach an error rate of 1.90 (±0:10)% for MNIST 100 labels (as reported in original paper)? Even after 5000 epochs the lowest I get is somewhat around 5%.
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.