Project description

gustavgrad

An autograd library built on NumPy, inspired by Joel Grus's livecoding.

The idea behind gustavgrad is to define a Tensor class, and a set of arithmetic operations on tensors, which we know how to calculate the first order derivative for. Using the chain-rule, the gradient of the composition of multiple operations can be calculated, since we know how to calculate the first order derivative of the basic operations.

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0.2.0

Jul 20, 2020

This version

0.1.1

Jul 14, 2020

0.1.1a0 pre-release

Jul 14, 2020

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