Small edits (#705)

docs/guides/frameworks/keras/jupyter.md

@@ -69,12 +69,14 @@ Text printed to the console for training appears in **CONSOLE**.
 
 ## Artifacts
 
-Model artifacts associated with the experiment appear in the experiment info panel (in the **EXPERIMENTS** tab), and in the model info panel (in the **MODELS** tab).  
+Models created by the experiment appear in the experiment's **ARTIFACTS** tab. ClearML automatically logs and tracks models
+created using Keras.
 
 The experiment info panel shows model tracking, including the model name and design in **ARTIFACTS** **>** **Output Model**.
 
 ![image](../../../img/examples_keras_jupyter_23.png)
 
-The model info panel contains the model details, including the model URL, framework, and snapshot locations.
+Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view 
+the model's details and access the model.
 
 ![image](../../../img/examples_keras_jupyter_24.png)

docs/guides/reporting/explicit_reporting.md

@@ -53,9 +53,11 @@ model_snapshots_path = '/mnt/clearml'
 if not os.path.exists(model_snapshots_path):
     os.makedirs(model_snapshots_path)
 
-task = Task.init(project_name='examples', 
-    task_name='extending automagical ClearML example', 
-    output_uri=model_snapshots_path)
+task = Task.init(
+  project_name='examples', 
+  task_name='extending automagical ClearML example', 
+  output_uri=model_snapshots_path
+)
 ```
 
 When the script runs, ClearML creates the following directory structure: