diff --git a/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md b/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md index 11f9b9ddc..d875ce207 100644 --- a/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md +++ b/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md @@ -59,7 +59,7 @@ end; ## Visualize ```@raw html
We want to visualize the the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
We want to visualize the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
function visualize_tsne(out, targets)
z = tsne(out, 2)
diff --git a/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl b/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
index 23d7e13b1..7e622b0ba 100644
--- a/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
+++ b/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
@@ -44,7 +44,7 @@ Let us start off by importing some libraries. We will be using Flux.jl and `Grap
# ╔═╡ 0d556a7c-d4b6-4cef-806c-3e1712de0791
md"""
## Visualize
-We want to visualize the the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
+We want to visualize the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
"""
# ╔═╡ 997b5387-3811-4998-a9d1-7981b58b9e09