Fix typos initialize in docs

docs/source-app/code_samples/quickstart/app/app_1.py

@@ -88,5 +88,5 @@ def run(self):
 # Step 4: download a dataset to your local directory under `/data`
 download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", "./data")
 
-# Initalize your Lightning app with 5 epochs
+# Initialize your Lightning app with 5 epochs
 app = L.LightningApp(RootFlow(5, "./data/hymenoptera_data"))

docs/source-app/code_samples/quickstart/hello_world/app.py

@@ -12,5 +12,5 @@ def run(self):
         print("Hello World!")
 
 
-# Step 3: Initalize a LightningApp with the LightningFlow you defined (in step 1)
+# Step 3: Initialize a LightningApp with the LightningFlow you defined (in step 1)
 app = L.LightningApp(HelloWorld())

docs/source-app/get_started/go_beyond_training_content.rst

@@ -308,7 +308,7 @@ Implement the ``configure_layout`` method to connect them together:
 
 5: Init the ``app`` object
 ^^^^^^^^^^^^^^^^^^^^^^^^^^
-Initalize an ``app`` object with the ``TrainDeploy`` component (this won't run the App yet):
+Initialize an ``app`` object with the ``TrainDeploy`` component (this won't run the App yet):
 
 .. code:: python
     :emphasize-lines: 29

docs/source-pytorch/common/checkpointing_basic.rst

@@ -106,8 +106,8 @@ The LightningModule also has access to the Hyperparameters
 
 ----
 
-Initalize with other parameters
-===============================
+Initialize with other parameters
+================================
 If you used the *self.save_hyperparameters()* method in the init of the LightningModule, you can initialize the model with different hyperparameters.
 
 .. code-block:: python