OpenCV 4 with Python Blueprints - Second Edition

The training procedure

As an example, we may want to learn what cats and dogs look like. To make this a supervised learning task, first, we have to put it as a question that has either a categorical answer or a real-valued answer.

Here are some example questions:

• Which animal is shown in the given picture?
• Is there a cat in the picture?
• Is there a dog in the picture?

After that, we have to gather an example picture with its corresponding correct answer—training data.

Then, we have to pick a learning algorithm (learner) and start tweaking its parameters in some way (learning algorithm) so that the learner can tell the correct answers when presented with a datum from training data.

We repeat this process until we are satisfied with the learner's ...