Inspired by micrograd and tinygrad.
- Built as a self serving project to understand backpropogation and autograd engines.
- Supports vectors, compared to other implementations focusing on scalar.
- Uses numpy as dependency to manipulate vectors.
-
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An attempt into building an Automatic Differentiation Engine to understand backpropogation better
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