|
| network |
| a dense model with one hidden layer
|
|
My dense neural network
Definition at line 28 of file simple.py.
◆ __init__()
__init__ |
( |
| self, |
|
|
| number_of_features ) |
Parameters:
number_of_features: number of input features
Definition at line 33 of file simple.py.
33 def __init__(self, number_of_features):
34 """
35 Parameters:
36 number_of_features: number of input features
37 """
38 super().__init__()
39
40
41 self.network = nn.Sequential(
42 nn.Linear(number_of_features, 128),
43 nn.ReLU(),
44 nn.Linear(128, 128),
45 nn.ReLU(),
46 nn.Linear(128, 1),
47 nn.Sigmoid(),
48 )
49
◆ forward()
Run the network
Definition at line 50 of file simple.py.
50 def forward(self, x):
51 """
52 Run the network
53 """
54 prob = self.network(x)
55 return prob
56
57
◆ network
Initial value:= nn.Sequential(
nn.Linear(number_of_features, 128),
nn.ReLU(),
nn.Linear(128, 128),
nn.ReLU(),
nn.Linear(128, 1),
nn.Sigmoid(),
)
a dense model with one hidden layer
Definition at line 41 of file simple.py.
The documentation for this class was generated from the following file: