Welcome! This is MindsEye, a neural network library written in Java 8. Low-level computation is provided by CuDNN and other native libraries.

Developer Guide - docs.google.com - Detailed Technical Documentation

Art Gallery - photos.google - Curated artwork generated by MindsEye

Component Documentation - simiacryptus.github.io/NetworkZoo/ - Test-generated documentation reports detailing each neural network component type.

JavaDocs - simiacryptus.github.io/MindsEye/apidocs/ - API documentation for the current release

Project Site - simiacryptus.github.io/MindsEye/ - The current maven-published site

Maven - mvnrepository.com/artifact/com.simiacryptus/mindseye - Dependency import information

Blog Articles - http://simiacryptus.com - Related articles from the author

• Java - Use Java 8+, Scala, or any other JVM language.

• Support for multiple GPUs and high performance math using native libraries including CuDNN, CUDA, and OpenCL.

• A highly modular optimization engine - It can be configured for many popular algorithms, or customized for optimization research.

• A large and extensible component library with a focus on automated testing and documentation.

• Utilize server clusters with Apache Spark for data-parallel training.

• Built-in JSON serialization for all networks.

• Output Markdown or HTML Notebook-style reports for documentation and research.

• Directly regress input datasets - learning is not limited to network weights.