Labeling data using semi-supervised learning

In this section, let us see how to generate labels using semi-supervised learning.

What is semi-supervised learning?

Semi-supervised learning falls in between supervised learning and unsupervised learning:

• In the case of supervised learning, all the training dataset is labeled
• In the case of unsupervised learning, all the training dataset is unlabeled
• In the case of semi-supervised learning, a very small set of data is labeled and the majority of the dataset is unlabeled

In this case, first we will generate the pseudo-labels using a small part of the labeled dataset with supervised learning:

1. In this first step, we use this training dataset to train the supervised model and generate the additional pseudo labeled dataset:

   Training dataset = small set of labeled dataset

2. In this second step, we will use the small set of labeled dataset along with the pseudo-labeled dataset generated in the first step:

   Training...