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add manual path to imgs #99

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Nov 16, 2023
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add manual path to imgs #99

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29 changes: 11 additions & 18 deletions docs/src/examples.md
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ We provide usage examples for all the layers and network in our [examples](https

## 2D Rosenbrock/banana distribution sampling w/ GLOW

```@example banana
```@example
using LinearAlgebra, InvertibleNetworks, PyPlot, Flux, Random

# Random seed
Expand Down Expand Up @@ -49,8 +49,6 @@ function backward(ΔX, X)
return ΔX, X
end

####################################################################################################

# Loss
function loss(X)
Y, logdet = forward(X)
Expand Down Expand Up @@ -97,20 +95,21 @@ ax3 = subplot(2,2,3); plot(X_[1, 1, 1, :], X_[1, 1, 2, :], "g."); title(L"Data s
ax3.set_xlim([-3.5,3.5]); ax3.set_ylim([0,50])
ax4 = subplot(2,2,4); plot(Y[1, 1, 1, :], Y[1, 1, 2, :], "."); title(L"Latent space: $z \sim \hat{p}_Z$")
ax4.set_xlim([-3.5, 3.5]); ax4.set_ylim([-3.5, 3.5])
savefig("plot_banana.svg")
savefig("../src/figures/plot_banana.svg")

nothing
```
![plot_banana.svg](plot_banana.svg)



![plot_banana.svg](figures/plot_banana.svg)


## Conditional 2D Rosenbrock/banana distribution sampling w/ cHINT

```@example cbanana
using InvertibleNetworks
using Flux, LinearAlgebra, PyPlot
using Flux, LinearAlgebra, PyPlot, Random

# Random seed
Random.seed!(11)

# Define network
nx = 1; ny = 1; n_in = 2
Expand Down Expand Up @@ -204,17 +203,11 @@ ax9.set_xlim([-3.5, 3.5]); ax9.set_ylim([-3.5, 3.5])
ax10 = subplot(2,5,10); plot(Zx[1, 1, 1, :], Zx[1, 1, 2, :], ".");
plot(Zy_fixed[1, 1, 1, :], Zy_fixed[1, 1, 2, :], "r."); title(L"Latent space: $zx \sim \hat{p}_{zx}$")
ax10.set_xlim([-3.5, 3.5]); ax10.set_ylim([-3.5, 3.5])
savefig("plot_cbanana.svg")
savefig("../src/figures/plot_cbanana.svg")

nothing
```
![plot_cbanana.svg](plot_cbanana.svg)







![plot_cbanana.svg](figures/plot_cbanana.svg)


## Literature applications
Expand Down
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