ra25example_world

command
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Published: Jun 9, 2022 License: BSD-3-Clause Imports: 28 Imported by: 0

Documentation

Overview

ra25 runs a simple random-associator four-layer axon network that uses the standard supervised learning paradigm to learn mappings between 25 random input / output patterns defined over 5x5 input / output layers (i.e., 25 units)

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