TensorState’s Documentation

Introduction

TensorState is a toolbox designed to analyze the way neural networks process information.

Both Tensorflow and PyTorch are supported, but complex networks may prove problematic for some of the network functions (such as automatically building an efficiency model).

For comments, suggestions, and bug reports, open an issue on Github.

Table of Contents

• Installation
  • Introduction
  • Simple Installation
  • Troubleshooting
  • Install From Source
  • Other Information
• List of Tutorials
  • A Simple Tensorflow Tutorial
  • A Simple PyTorch Tutorial
• Reference
  • tensorstate.TensorState
  • tensorstate.Layers
  • tensorstate.States
• What is state space?
  • An Abstract Explanation