ZNN Documentation

ZNN is a multi-core CPU implementation of deep learning for 2D and 3D convolutional networks (ConvNets).

Contents:

• Introduction
  • When to Use ZNN
  • CPU vs GPU?
  • What do I need to use ZNN?
  • Resources
  • Publications
• Installation
  • Using Docker image - Recommended
  • Acquiring a Machine Image
  • Compiling the Python Interface
  • Compilation of C++ core
  • Compiling ZNN
  • Uninstall ZNN
  • Resources
• Tutorial
  • 1. Importing Experimental Images
  • 2. Network Architecture Configuration
  • 3. Training
  • Forward Pass

Indices and tables

• Index
• Module Index
• Search Page