hybrid_learning

Content

  • Quickstart Guide
  • User Guide
    • Overview
    • Using a concept model to find an embedding
    • Conducting a Concept Analysis
    • Extending DNN model outputs
    • Custom dataset handles
    • Fuzzy Logic Operations
  • API Reference
  • How to contribute
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  • User Guide
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User Guide

Function Overview

  • Overview
    • Concept Analysis Tooling
    • Dataset Tooling
    • Framework for Fuzzy Logic Rule Definition
    • Experimentation Utils

Usage Examples

  • Using a concept model to find an embedding
    • Defining a concept model
    • Training a concept model
  • Conducting a Concept Analysis
    • Preparation: Getting the concept
    • Collecting embeddings and performances
    • Aggregation and selection
    • Performance assessment
    • Using an embedding
  • Extending DNN model outputs
    • Extend model output by activation maps
    • Attaching Further Modules
  • Custom dataset handles
    • MS COCO
    • Broden
    • Activation Map Storage and Handling
    • Dataset Caching
  • Fuzzy Logic Operations
    • Modelling Approach
    • Variadic Operations
    • Parsing Formulas
    • Defining Operator Builders and Logics
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