Created
July 17, 2019 06:01
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Example of creating a network using nn.Block class
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| from mxnet import nn | |
| class myLeNet(nn.Block): | |
| def __init__(self, **kwargs): | |
| super(myLeNet, self).__init__(**kwargs) | |
| self.conv1 = nn.Conv2D(channels=6,kernel_size=5,activation='relu') | |
| self.pool1 = nn.MaxPool2D(pool_size=2,strides=2) | |
| self.conv2 = nn.Conv2D(channels=16,kernel_size=3,activation='relu') | |
| self.pool1 = nn.MaxPool2D(pool_size=2,strides=2) | |
| self.fc1 = nn.Dense(120, activation='relu') | |
| self.fc2 = nn.Dense(84, activation='relu') | |
| self.fc3 = nn.Dense(10) | |
| def forward(self,x): | |
| return self.fc3(self.fc2(self.fc1(self.pool1(self.conv2(self.pool1(self.conv1(x))))))) |
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