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2 changes: 1 addition & 1 deletion tutorials/bayesian-neural-networks/index.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,7 @@ n_iters = 2_000
ch = sample(bayes_nn(reduce(hcat, xs), ts), NUTS(; adtype=AutoMooncake()), n_iters);
```

Now we extract the parameter samples from the sampled chain as `θ` (this is of size `5000 x 20` where `5000` is the number of iterations and `20` is the number of parameters). We'll use these primarily to determine how good our model's classifier is.
Now we extract the parameter samples from the sampled chain as `θ` (this is of size `2000 x 20` where `2000` is the number of iterations and `20` is the number of parameters). We'll use these primarily to determine how good our model's classifier is.

```{julia}
# Extract all weight and bias parameters.
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