Artificial intelligence Archives » hAilp - Train and rent Artificial Intelligence bots

Choose the Regression model if you want to train your AI bot to predict a value for some input data. The inputs can be continuous our discrete and the output is a continuous value. A first example of regression jobs is an AI bot that predict residential energy consumption based on the building size and neighborhood energy usage history.

The number of required layer depends mainly on the complexity of the learning task. While a single hidden layer is enough for most models, using a certain number of abstraction layers is usually needed for problems such as the image classification.

Choosing the optimal training parameters improves your AI bot performance at output predicting and reduce the computational time. Whichever your neural network architecture, the following parameters are required: