Feed-forward neural networks

The ANN we have referred to so far is called a feed-forward neural network since the connections between the units and layers do not form a cycle and move only in one direction (from the input layer to the output layer).

Let's implement the feed-forward neural network example with simple Spark ML code:

           object FeedForwardNetworkWithSpark { 
           def main(args:Array[String]): Unit ={ 
           val recordReader:RecordReader = new CSVRecordReader(0,",") 
           val conf = new SparkConf() 
           .setMaster("spark://master:7077") 
           .setAppName("FeedForwardNetwork-Iris") 
           val sc = new SparkContext(conf) 
           val numInputs:Int = 4 
           val outputNum = 3 
           val iterations =1 
           val multiLayerConfig:MultiLayerConfiguration = new    
             NeuralNetConfiguration.Builder() 
             .seed(12345) 
             .iterations(iterations) 
            .optimizationAlgo(OptimizationAlgorithm...