diff --git a/docs/make.jl b/docs/make.jl
index 59a871bf91..7e75df69d2 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -29,7 +29,7 @@ pages = [
             "tutorials/intermediate/2_BayesianNN.md",
             "tutorials/intermediate/3_HyperNet.md",
             "tutorials/intermediate/4_PINN2DPDE.md",
-            "tutorials/intermediate/5_ConditionalVAE.md",
+            "tutorials/intermediate/5_ConvolutionalVAE.md",
         ],
         "Advanced" => [
             "tutorials/advanced/1_GravitationalWaveForm.md"
diff --git a/docs/src/.vitepress/config.mts b/docs/src/.vitepress/config.mts
index 3019b10a45..732ce75004 100644
--- a/docs/src/.vitepress/config.mts
+++ b/docs/src/.vitepress/config.mts
@@ -219,8 +219,8 @@ export default defineConfig({
                 link: "/tutorials/intermediate/4_PINN2DPDE",
               },
               {
-                text: "Conditional VAE for MNIST using Reactant",
-                link: "/tutorials/intermediate/5_ConditionalVAE",
+                text: "Convolutional VAE for MNIST using Reactant",
+                link: "/tutorials/intermediate/5_ConvolutionalVAE",
               }
             ],
           },
diff --git a/docs/src/tutorials/index.md b/docs/src/tutorials/index.md
index 22a27c4d52..82856d1338 100644
--- a/docs/src/tutorials/index.md
+++ b/docs/src/tutorials/index.md
@@ -67,10 +67,10 @@ const intermediate = [
     desc: "Train a PINN to solve 2D PDEs (using Nested AD)."
   },
   {
-    href: "intermediate/5_ConditionalVAE",
+    href: "intermediate/5_ConvolutionalVAE",
     src: "../conditional_vae.png",
-    caption: "Conditional VAE for MNIST using Reactant",
-    desc: "Train a Conditional VAE to generate images from a latent space."
+    caption: "Convolutional VAE for MNIST using Reactant",
+    desc: "Train a Convolutional VAE to generate images from a latent space."
   }
 ];
 
diff --git a/docs/tutorials.jl b/docs/tutorials.jl
index abbfd6581f..fce7546923 100644
--- a/docs/tutorials.jl
+++ b/docs/tutorials.jl
@@ -12,7 +12,7 @@ const INTERMEDIATE_TUTORIALS = [
     "BayesianNN/main.jl" => "CPU",
     "HyperNet/main.jl" => "CUDA",
     "PINN2DPDE/main.jl" => "CUDA",
-    "ConditionalVAE/main.jl" => "CUDA",
+    "ConvolutionalVAE/main.jl" => "CUDA",
 ]
 const ADVANCED_TUTORIALS = [
     "GravitationalWaveForm/main.jl" => "CPU",
diff --git a/examples/ConditionalVAE/Project.toml b/examples/ConvolutionalVAE/Project.toml
similarity index 100%
rename from examples/ConditionalVAE/Project.toml
rename to examples/ConvolutionalVAE/Project.toml
diff --git a/examples/ConditionalVAE/main.jl b/examples/ConvolutionalVAE/main.jl
similarity index 99%
rename from examples/ConditionalVAE/main.jl
rename to examples/ConvolutionalVAE/main.jl
index d9813e8333..cfd95e8c4f 100644
--- a/examples/ConditionalVAE/main.jl
+++ b/examples/ConvolutionalVAE/main.jl
@@ -1,4 +1,4 @@
-# # [Conditional VAE for MNIST using Reactant](@id Conditional-VAE-Tutorial)
+# # [Convolutional VAE for MNIST using Reactant](@id Convolutional-VAE-Tutorial)
 
 # Convolutional variational autoencoder (CVAE) implementation in MLX using MNIST. This is
 # based on the [CVAE implementation in MLX](https://github.com/ml-explore/mlx-examples/blob/main/cvae/).