21 lines
618 B
Python
21 lines
618 B
Python
import torch.nn as nn
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class Neural_Network_Model(nn.Module):
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def __init__(self, num_classes=5,hidden_layer1 = 100,hidden_layer2 = 100):
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super(Neural_Network_Model, self).__init__()
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self.fc1 = nn.Linear(150*150*3,hidden_layer1)
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self.fc2 = nn.Linear(hidden_layer1,hidden_layer2)
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self.out = nn.Linear(hidden_layer2,num_classes)
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# two hidden layers
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def forward(self, x):
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x = x.view(-1, 150*150*3)
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x = self.fc1(x)
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x = torch.relu(x)
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x = self.fc2(x)
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x = torch.relu(x)
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x = self.out(x)
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F.log_softmax(x, dim=-1)
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return x
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