Backpropagation Articles

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8/10/2024 • EN

MicroGrad.jl: Part 3 Automation with IRTools

Explores using IRTools.jl for robust automatic differentiation in Julia, focusing on metaprogramming to generate forward and backward passes.

Automatic Differentiation Backpropagation Irtools julia metaprogramming

Lior Sinai

7/29/2024 • EN

Learning and Building Deep Neural Networks with Kotlin

A technical article exploring deep neural networks by comparing classic computational methods to modern ML, using sine function calculation as an example and implementing it in Kotlin.

Backpropagation Deep Learning Kotlin Machine Learning Neural Networks

Michael Inden

7/27/2024 • EN

MicroGrad.jl: Part 1 ChainRules

An introduction to building a minimal automatic differentiation package in Julia, focusing on explicit chain rules and the Julia AD ecosystem.

Automatic Differentiation Backpropagation Chainrules julia Machine Learning

Lior Sinai

Backpropagation Articles

MicroGrad.jl: Part 3 Automation with IRTools

Learning and Building Deep Neural Networks with Kotlin

MicroGrad.jl: Part 1 ChainRules

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