package DeepLearning;
import java.util.Random;
import java.util.List;
import java.util.ArrayList;
public class Dropout {
public int N;
public int n_in;
public int[] hidden_layer_sizes;
public int n_out;
public int n_layers;
public HiddenLayer[] hiddenLayers;
public LogisticRegression logisticLayer;
public Random rng;
public Dropout(int N, int n_in, int[] hidden_layer_sizes, int n_out, Random rng, String activation) {
this.N = N;
this.n_in = n_in;
this.hidden_layer_sizes = hidden_layer_sizes;
this.n_layers = hidden_layer_sizes.length;
this.n_out = n_out;
this.hiddenLayers = new HiddenLayer[n_layers];
if (rng == null) rng = new Random(1234);
this.rng = rng;
if (activation == null) activation = "ReLU";
// construct multi-layer
int input_size;
for(int i=0; i