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import torch
import torch.nn as nn
import pandas as pd
import numpy as np
DROPOUTX = 0.10
class SimplePlusNN2(nn.Module):
def __init__(self, input_size, num_classes):
super(SimplePlusNN2, self).__init__()
self.fc1 = nn.Linear(input_size, 128)
self.relu = nn.ReLU()
self.fc2 = nn.Linear(128, 32)
self.relu = nn.ReLU()
self.fc3 = nn.Linear(32, 1)
self.dropout = nn.Dropout(DROPOUTX)
self.sigmoid = nn.Sigmoid()
def forward(self, x):
x = self.relu(self.fc1(x))
x = self.relu(self.fc2(x))
x = self.dropout(x)
x = self.sigmoid(self.fc3(x))
return x |