Tutorials

Beginners Tutorials

Julia & Lux for the Uninitiated

A tutorial on how to get started with Julia and Lux for those who have never used Julia before.

Fitting a Polynomial using MLP

Learn the Basics of Lux by fitting a Multi-Layer Perceptron to a Polynomial.

Training a Simple LSTM

Learn the API for defining Recurrent Models in Lux.

Use SimpleChains.jl as a Backend

Learn how to train small neural networks really fast

Intermediate Tutorials

MNIST Classification using Neural ODE

Train a Neural ODE to classify MNIST Images.

Bayesian Neural Networks

Figure out how to use Probabilistic Programming Frameworks like Turing with Lux.

Training a HyperNetwork

In this tutorial we will train a hypernetwork to work on multiple datasets by predicting neural network parameters.

Advanced Tutorials

Neural ODE to Model Gravitational Waveforms

Training a Neural ODE to fit simulated data of gravitational waveforms.