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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