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Explainable AI: Neural Nets + Logic Solve MNIST & Sudoku
This is a Plain English Papers summary of a research paper called Explainable AI: Neural Nets + Logic Solve MNIST & Sudoku. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Combines neural networks for perception with rule-based reasoning Transforms neural network probabilities into possibility distributions Introduces methods for defining matrix relations in possibilistic systems Tests on MNIST addition and Sudoku puzzles show strong results Uses intermediate concepts to explain classifications Plain English Explanation Neural networks are great at recognizing patterns, but they often work like a black box. This research combines them with logical rules to make their decisions more transparent and un... Click here to read the full summary of this paper
This is a Plain English Papers summary of a research paper called Explainable AI: Neural Nets + Logic Solve MNIST & Sudoku. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Combines neural networks for perception with rule-based reasoning
- Transforms neural network probabilities into possibility distributions
- Introduces methods for defining matrix relations in possibilistic systems
- Tests on MNIST addition and Sudoku puzzles show strong results
- Uses intermediate concepts to explain classifications
Plain English Explanation
Neural networks are great at recognizing patterns, but they often work like a black box. This research combines them with logical rules to make their decisions more transparent and un...
