Multilayer perceptron is a classifier based on the feedforward artificial neural network and consists of multiple layers.
Each layer is fully connected to the next layer in the network. For details about the multilayer perceptron classifier (MLPC), see https://spark.apache.org/docs/latest/ml-classification-regression.html#multilayer-perceptron-classifier. 1
The MultiLayerPerceptron-AS node in Watson Studio is implemented in Spark. To use a this node, you must set up an upstream Type node. The MultiLayerPerceptron-AS node will read input values from the Type node (or from the Types of an upstream import node).
1 "Multilayer perceptron classifier." Apache Spark. MLlib: Main Guide. Web. 5 Oct 2018.