June 23, 2022, 2:49 p.m. | Roland Schätzle

Towards Data Science - Medium towardsdatascience.com

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Flux.jl on MNIST — Variations of a theme

Flux.jl is a ML-stack offering lightweight components to create models and train them. Using the MNIST dataset we will see how easy it is to build different approaches for classification of this dataset just by plugging such components together.

Overview

Flux.jl

Flux.jl is a package written in 100% Julia. It’s aimed at building models which are typically trained using an iterative approach based on automated differentiation. …

data science julia machine learning mnist neural networks programming

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