Table 2.

Deep neural network architectures with 1 to 10 hidden layers.

Layer	Shape	Activation
Input layer	Dense 300 (21 Input Dimensions)	ReLU
1…10 hidden layers	Dense 300	ReLU
Output layer	1	Sigmoid

All models employed stochastic gradient descent optimizer with 0.9 Nesterov momentum.