Voice User Interface Projects

Training data

Machine learning is all about using data to train the model via artificial intelligence. For example, let's assume you tell your child that apples are red and, at some point, your child goes to the grocery store and finds a green apple. Your child asks you, "Can apples be green as well?" and you confirm, "Yes." Your child has just learned that the color of an apple can be red or green. The same analogy will apply to the Dialogflow agent where, over time, the user will say things that no intents will match. So, what do you do with those that did not have any intents to match? Rather than ignoring unknown requests, send them back into the system to train the Dialogflow agent.

Let's see this in the following example. Go to the ...