In the previous segment we discussed how you can attach a general label to also create an embedding.
![](/static/images/content/course/embeddings/06-flex-more.png)
But let's now discuss a general network architecture that allows you to embed two different kinds of data into the same space. In the example below we'll associate text with an image.
![](/static/images/content/course/embeddings/07-multi-modal.png)
The image part would require some convolutional layers, but besides that we still end up with a gradient that can propogate backward. Updating all the weights along the way.