# EfficientNet Model

## Model Class

```python
model = efficientnet_b0(weights='IMAGENET1K_V1')

in_features = model.classifier[1].in_features
model.classifier[1] = nn.Linear(in_features, 2)

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model.to(device)

criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters(), lr=1e-4)
```

## How to Run
In the notebook Run_EfficientNet.ipynb, replace the line:
```python
dataset_test = load_dataset("gydou/released_img")
```
with the proper location of the testing dataset.

## Training Dataset Statistics
```python
lat_std = 0.0006914493505038013
lon_std = 0.0006539239061573955
lat_mean = 39.9517411499467
lon_mean = -75.19143213125122
```