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Table of Contents
1 Bitworm: Getting Started Example
Running the Example with Temporally Incoherent Data
Running the Example with Noisy Data
Understanding the Example Scripts
RunOnce.py: Your Entry Point to Bitworms
GenerateData.py: An Example of Data Generation
RunOnce.py: Creating, Training, and Using the Trained Network
2 Understanding HTM Development: Waves Example
Problem Definition in the Waves Example
Data in the Waves Example Programs
Designing and Creating the HTM Network Structure
Network Creation with the Network API and Helper Functions
Network Creation with Node Constructors
Network Creation in the Waves Example
Running the Network to Perform Learning and Inference
Troubleshooting, Testing, and Analyzing Your HTM System
Testing and Analysis in the Waves Example
Using RunExperiment.py to Explore Results of Changes
Testing and Analysis Questions
Summary and Guide to Documentation
HTM Programming Steps Overview
Creating the HTM Network with Helper Functions
Creating the HTM Network Components Explicitly
Understanding HTM Network Components
Creating the Network and Node Objects
Linking the Elements of the Network
Understanding Learning and Inference
Options for Running the HTM Network
Understanding the RuntimeNetwork API
What RuntimeNetwork.run() Does
Using the RuntimeNetwork Object to Perform Training
Using the RuntimeNetwork Object to Perform Inference
Training Your HTM Network: The Pictures Example
5 Debugging Your HTM Application
Making Sure The Data Are Valid
Per-Level Training: Troubleshooting Efficiently
Experimenting With Parameters and Input Data
Experiment With Key Parameters
Experiment with Network Topology
Improving Recognition Accuracy
Interpreting Visualizer Output
Plotting and GUI Packages Bundled with NuPIC
A NuPIC Directories, Elements, and Help
How to Access NuPIC Built-in Help
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