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config.json

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+{
+  "model_name": "Residual Convolutional Autoencoder Ensemble",
+  "version": "v32",
+  "architecture": {
+    "type": "Convolutional Autoencoder",
+    "encoder_layers": 6,
+    "decoder_layers": 6,
+    "residual_blocks": true,
+    "input_size": [
+      3,
+      256,
+      256
+    ],
+    "output_size": [
+      3,
+      256,
+      256
+    ]
+  },
+  "models": {
+    "model_a": {
+      "latent_dim": 512,
+      "dropout": 0.15,
+      "parameters": "~50M",
+      "val_loss": 0.025486
+    },
+    "model_b": {
+      "latent_dim": 768,
+      "dropout": 0.2,
+      "parameters": "~65M",
+      "val_loss": 0.025033
+    }
+  },
+  "training": {
+    "loss_function": "MSE",
+    "optimizer": "AdamW",
+    "image_range": "[-1, 1]",
+    "input_resolution": "256x256",
+    "normalization": "x * 2 - 1"
+  },
+  "usage": {
+    "preprocessing": "Resize to 256x256, normalize to [-1, 1]",
+    "input_format": "RGB image tensor",
+    "output_format": "Reconstructed image + latent code"
+  },
+  "limitations": {
+    "note": "Model functions as image enhancer/denoiser, not anomaly detector",
+    "not_suitable_for": [
+      "Fake image detection",
+      "Anomaly detection with modern AI images"
+    ],
+    "suitable_for": [
+      "Image denoising",
+      "Feature extraction",
+      "Image reconstruction"
+    ]
+  }
+}