Artificial Neural Network (ANN): ANN is a type of deep learning model that consists of multiple layers of interconnected nodes. ANN can learn complex patterns in data, and is effective in handling large datasets with high dimensionality.
first import the necessary ArcPy libraries, including the Spatial Analyst module (which contains the mlp_classifier function from the Neural Network module). We then set the input raster and training data, as well as the parameters for the ANN model, including the number of hidden layers, the number of nodes per layer, the activation function, the learning rate, and the momentum.
We then create a new instance of the mlp_classifier class, passing in the input raster, the target field, the training data, and the ANN parameters. We then save the trained model to disk using the save method of the model object.
Artificial Neural Network (ANN): ANN is a type of deep learning model that consists of multiple layers of interconnected nodes. ANN can learn complex patterns in data, and is effective in handling large datasets with high dimensionality.
first import the necessary ArcPy libraries, including the Spatial Analyst module (which contains the mlp_classifier function from the Neural Network module). We then set the input raster and training data, as well as the parameters for the ANN model, including the number of hidden layers, the number of nodes per layer, the activation function, the learning rate, and the momentum.
We then create a new instance of the mlp_classifier class, passing in the input raster, the target field, the training data, and the ANN parameters. We then save the trained model to disk using the save method of the model object.