File size: 561 Bytes
207a388 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
import torch.nn as nn
from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights
class CatDogEfficientNetB0(nn.Module):
def __init__(self):
super().__init__()
weights = EfficientNet_B0_Weights.DEFAULT
self.base = efficientnet_b0(weights=weights)
for param in self.base.parameters():
param.requires_grad = False
in_features = self.base.classifier[1].in_features
self.base.classifier[1] = nn.Linear(in_features, 2)
def forward(self, x):
return self.base(x)
|