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PokemonCNN
├── Initial Input: (256, 256, 4)
│
├── Feature Extraction Layers
│   ├── Conv2D (4->32)
│   ├── BatchNorm2D 
│   ├── ReLU Activation
│   ├── MaxPool2D(K Size = 3)
│   ├── Dropout (p=0.25)
│
├── Deeper Processing
│   ├── Conv2D(32->64)
│   ├── BatchNorm2D (64)
│   ├── ReLU Activation
│   ├── MaxPool2D(K Size = 3)
│   ├── Dropout (p=0.25)
│
├── More Feature Extraction
│   ├── Conv2D(64->128)
│   ├── BatchNorm2D
│   ├── ReLU Activation
│   ├── MaxPool2D(K Size = 3)
│   ├── Dropout (p=0.25)
│
├── Fully Connected Layers
│   ├── Flatten
│   ├── Linear (512 Neurons)
│   ├── BatchNorm1D
│   ├── Dropout (p=0.5)
│   ├── Linear
│   ├── Softmax Activation
│
└── Output: 18 classes