Welcome to deephyp’s documentation!

deephyp is an open source python-based toolbox, built on tensorflow, for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

Source code available on Github.

Contents:

• Installation
• How to cite
• Getting Started
  • Getting started with autoencoders
  • Getting started with classifiers
• API Reference
  • deephyp.data
  • deephyp.autoencoder
  • deephyp.classifier
• Code Examples
  • autoencoder examples
  • classifier examples
• Related Publications
• Contact

Indices and tables

• Index
• Module Index
• Search Page