src/cnn_model.py

import torch.nn as nn

class CatBreedCNN(nn.Module):
    def __init__(self, num_classes):
        super().__init__()
        self.net = nn.Sequential(
            nn.Conv2d(3, 32, kernel_size=3, padding=1),
            nn.BatchNorm2d(32),
            nn.ReLU(),
            nn.MaxPool2d(2),

            nn.Conv2d(32, 64, kernel_size=3, padding=1),
            nn.BatchNorm2d(64),
            nn.ReLU(),
            nn.MaxPool2d(2),

            nn.Conv2d(64, 128, kernel_size=3, padding=1),
            nn.BatchNorm2d(128),
            nn.ReLU(),
            nn.MaxPool2d(2),  

            nn.Flatten(),
            nn.Linear(128 * 16 * 16, 512),
            nn.ReLU(),
            nn.Dropout(0.5),

            nn.Linear(512, num_classes)
        )

    def forward(self, x):
        return self.net(x)