Deep learning regression model example

Deep learning regression models are models used to predict continuous values. A typical example is house price prediction. Suppose we want to predict the price of a house. We can collect a lot of information about the house, such as the area of ​​the house, the city where the house is located, the age of the house, the number of rooms in the house, etc. This information is the feature. We can use a deep learning regression model to predict the price of a house based on these features.

For example, let's say we have a data set that contains the price of each house and these characteristics. We can train a deep learning model to study this data set and let it learn to predict the price of a house based on these features. Then, when we have the characteristics of a new house, we can use this model to predict the price of the house.