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An educational module meant to serve as a prelude to talking about automatic differentiation in deep learning frameworks (for example, as provided by the Autograd module in PyTorch)
pip install computationalgraphprimer
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
ComputationalGraphPrimer publishes 0 wheels and 1 source archive for version 1.1.5. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 12 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .