Neural Network

Network Summary

1. Input Layer [18 input parameters]
2. 1st Dense Layer [128 neurons] [ReLu activation]
3. Dropout [0.2]
4. 2nd Dense Layer [128 neurons] [ReLu activation]
5. Dropout [0.2]
6. 3rd Dense Layer [128 neurons] [ReLu activation]
7. Dropout [0.2]
8. Output Layer [3 output parameters] [Linear activation]

Loss function : Mean Square Error Optimizer : RMS propagation