wuliytTaotao / ladder_network_keras

Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

Semi-Supervised Learning with Ladder Networks in Keras

This is an implementation of Ladder Network in Keras. Ladder network is a model for semi-supervised learning. Refer to the paper titled Semi-Supervised Learning with Ladder Networks by A Rasmus, H Valpola, M Honkala,M Berglund, and T Raiko

The model achives 98% test accuracy on MNIST with just 100 labeled examples.

The code only works with Tensorflow backend.

Requirements

• Python 3.6+
• Tensorflow (2.0)
• sklearn

How to use

Create a virtual environment

$ python3 -m venv --prompt ladder venv
$ source venv/bin/activate
(ladder) $ python -m pip install --upgrade pip
(ladder) $ python -m pip install wheel
(ladder) $ python -m pip install -r requirements.txt

Run the MNIST training script

(ladder) $ python mnist_example.py