Added Readme.

README.md

+# Un- and Semi-supervised Learning for Ultrasonic Images with Convolutional Variational Autoencoders
+Repository for project in course 02456 Deep Learning at DTU, fall 2017, by Niels Jeppesen (niejep).
+
+## Prerequisites
+- python 3.5+
+- keras 2.0+
+- tensorflow 1.3+
+- scikit-learn 0.19+
+
+## Files
+- `autoencoder.py` implements a Variational Autoencoder and a Semi-superviser Variational Autoencoder/Classifier in Keras/Tensorflow.
+- `Unsupervivised VAE.ipynb` is a Jupyter Notebook for recreating unsupervised MNIST result from the paper.
+- `Semi-supervised VAE.ipynb` is a Jupyter Notebook for recreating semi-supervised MNIST result from the paper.