API templates touch ups

scripts/autogen.py

@@ -44,7 +44,7 @@
 GUIDES_GH_LOCATION = Path("keras-team") / "keras-io" / "blob" / "master" / "guides"
 KERAS_TEAM_GH = "https://github.com/keras-team"
 PROJECT_URL = {
-    "keras": f"{KERAS_TEAM_GH}/keras/tree/v3.2.1/",
+    "keras": f"{KERAS_TEAM_GH}/keras/tree/v3.3.0/",
     "keras_tuner": f"{KERAS_TEAM_GH}/keras-tuner/tree/v1.4.7/",
     "keras_cv": f"{KERAS_TEAM_GH}/keras-cv/tree/v0.8.2/",
     "keras_nlp": f"{KERAS_TEAM_GH}/keras-nlp/tree/v0.9.3/",

templates/api/callbacks/index.md

@@ -13,6 +13,12 @@ You can use callbacks to:
 
 ---
 
+## Available callbacks
+
+{{toc}}
+
+---
+
 ## Usage of callbacks via the built-in `fit()` loop
 
 You can pass a list of callbacks (as the keyword argument `callbacks`) to the `.fit()` method of a model:
@@ -37,8 +43,3 @@ Learn more about creating new callbacks in the guide
 [Writing your own Callbacks](/guides/writing_your_own_callbacks), and refer to
 the documentation for [the base `Callback` class](base_callback).
 
----
-
-## Available callbacks
-
-{{toc}}

templates/api/optimizers/index.md

@@ -1,5 +1,11 @@
 # Optimizers
 
+## Available optimizers
+
+{{toc}}
+
+---
+
 ## Usage with `compile()` & `fit()`
 
 An optimizer is one of the two arguments required for compiling a Keras model:
@@ -42,13 +48,6 @@ optimizer = keras.optimizers.SGD(learning_rate=lr_schedule)
 
 Check out [the learning rate schedule API documentation](/api/optimizers/learning_rate_schedules) for a list of available schedules.
 
-
----
-
-## Available optimizers
-
-{{toc}}
-
 ---
 
 ## Core Optimizer API