Getting started with semi-supervised learning

As we saw in the introduction, one of the most amazing applications of semi-supervised learning is the possibility to teach machines how to interpret images. This can be done not just to create captions for some given images but also to ask the machine to write a poetic description of how it perceives the images.

Check out the following results. On the left are some random images passed to the model and on the right are some poems generated by the model. The following results are interesting, as it is hard to identify whether these lyrical stanzas were created by a machine or a human:

Figure 7.1 – Generating poems for a given image by analyzing context

For example, in the top image, the machine could detect the door and street and wrote a stanza about it. In the second image, it detected sunshine and wrote a lyrical stanza about sunsets and love. In the bottom image, the machine detected a couple...