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@Cj1m
Created February 26, 2021 12:48
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class NNSpectrogramModel(nn.Module):
def __init__(self):
super().__init__()
self.input_layer = 3968
h1 = 2645
h2 = 1024
encoding_size = 240
num_classes = 1
self.fc1 = nn.Linear(self.input_layer, encoding_size)
# self.fc2 = nn.Linear(h1, h2)
# self.fc3 = nn.Linear(h2, encoding_size)
self.fc4 = nn.Linear(encoding_size, num_classes)
self.sigmoid = nn.Sigmoid()
def forward(self, xb):
xb = xb.reshape(-1, self.input_layer)
out = self.encoding(xb)
out = self.fc4(out)
out = self.sigmoid(out)
return out
def encoding(self, xb):
out = self.fc1(xb)
out = self.sigmoid(out)
return out
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