Update README.md

README.md

@@ -39,9 +39,7 @@ The model has been exported using **opset version 15** and is fully compatible w
 - **Architecture**: Customized ResNet-18 with integrated Dropout layers
 - **Trained on**: CIFAR-10 (60,000 32x32 color images, 10 classes)
 - **Image Preprocessing**: Images were resized to `128×128`
-- **Data Normalization**: `mean = [0.4914, 0.4822, 0.4465]` ;
-  
-                          `std = [0.2023, 0.1994, 0.2010]`
+- **Data Normalization**: `mean = [0.4914, 0.4822, 0.4465]` ; `std = [0.2023, 0.1994, 0.2010]`
 - **Dropout Probability**: 0.3
 - **ONNX opset version**: 15
 - **Conversion tool**: PyTorch → ONNX