microgradv

A tiny Autograd engine, about 250 lines of code in total!

An implementation of Andrej karpathy's micrograd in Vlang that I wrote as exercise to learn about neural networks and V.

[!NOTE] Due to V's limitations on operator overloading using this implementation is painful to the eyes. I hope this will be useful for educational purposes like the original implementation.

Installation

v install Sydiepus.microgradv

Example Usage

import sydiepus.microgradv

a := microgradv.value(20)
b := microgradv.value(58)
c := a.add(b)
d := c.mul(a)
e := d.pow(2)
f := e.div(a)
g := f.sub(b)
mut h := g.relu()
h.backward()
println(a.grad) // prints 9204.0
println(b.grad) // prints 3119.0
println(c.grad) // prints 3120.0
println(d.grad) // prints 156.0
println(e.grad) // prints 0.05
println(f.grad) // prints 1.0
println(g.grad) // prints 1.0
println(h.grad) // prints 1.0

Training a neural network

In progress