The Model class implements a model that stores and connects a neural network and the input and output channels. To execute a model on different backends, you can download the model object into an object of the ModelExecutor class and call the start() model execution function.
Using the functions of the Model class, you can manage the neural network object. For example, you can add to the neural network object input and output channels associated with certain projections.
Each object of the Model class has the following attributes: