Micrograd is a simple autograd engine, this was built to get a better intuition of Neural Networks following Andrej Karpathy's Youtube lecture
I added relu and sigmoid functions, their backward expressions and added options on the Multilayer Perceptron Class to enable the specifying of different activation functions for the hidden and output layers. There's also like a lot of helpful comments detailing the purpose of every code block, admittedly, this was to help me internalize some concepts.
To get Graphviz to display, besides the graphviz library, you might need to install the Graphviz executable found here on your computer