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@@ -34,7 +34,7 @@ The documentation is available on [Read The Docs](http://neat-python.readthedocs
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neat-python supports exporting trained networks to a JSON format that is framework-agnostic and human-readable. This allows you to:
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- Convert networks to other formats (ONNX, TensorFlow, PyTorch, etc.) using third-party tools (the beginnings of an conversion system can be found in the examples/export directory)
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- Convert networks to other formats (ONNX, TensorFlow, PyTorch, etc.) using third-party tools (the beginnings of a conversion system can be found in the `examples/export` directory)
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- Inspect and debug network structure
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- Share networks across platforms and languages
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- Archive trained networks independently of neat-python
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