update share image

Signed-off-by: Craig Osterhout <craig.osterhout@docker.com>

content/guides/use-case/tensorflowjs.md

@@ -5,7 +5,7 @@ title: Face detection with TensorFlow.js
 ---
 
 This guide introduces the seamless integration of TensorFlow.js with Docker to
-perform face detection. In this guide, you'll explore:
+perform face detection. In this guide, you'll explore how to:
 
 - Run a containerized TensorFlow.js application using Docker.
 - Implement face detection in a web application with TensorFlow.js.
@@ -493,12 +493,14 @@ developer ecosystem. To share your image:
 
 1. [Sign up](https://www.docker.com/pricing?utm_source=docker&utm_medium=webreferral&utm_campaign=docs_driven_upgrade) or sign in to [Docker Hub](https://hub.docker.com).
 
-2. Rename your image so that Docker knows which repository to push it to. Open a
-   terminal and run the following `docker tag` command. Replace `YOUR-USER-NAME`
-   with your Docker ID.
+2. Rebuild your image to include the changes to your application. This time,
+   prefix the name with your Docker ID. Docker uses the name to determine which
+   repository to push it to . Open a terminal and run the following command in
+   the `TensorJS-Face-Detection` directory. Replace `YOUR-USER-NAME` with your
+   Docker ID.
 
    ```console
-   $ docker tag face-detection-tensorjs YOUR-USER-NAME/face-detection-tensorjs
+   $ docker build -t YOUR-USER-NAME/face-detection-tensorjs .
    ```
 
 3. Run the following `docker push` command to push the image to Docker Hub.