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Copy file name to clipboardExpand all lines: tutorials/03-bayesian-neural-network/index.qmd
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Pkg.instantiate();
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In this tutorial, we demonstrate how one can implement a Bayesian Neural Network using a combination of Turing and [Lux](https://github.com/LuxDL/Lux.jl), a suite of machine learning tools. We will use Flux to specify the neural network's layers and Turing to implement the probabilistic inference, with the goal of implementing a classification algorithm.
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In this tutorial, we demonstrate how one can implement a Bayesian Neural Network using a combination of Turing and [Lux](https://github.com/LuxDL/Lux.jl), a suite of machine learning tools. We will use Lux to specify the neural network's layers and Turing to implement the probabilistic inference, with the goal of implementing a classification algorithm.
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We will begin with importing the relevant libraries.
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