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Update README.md

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@@ -32,7 +32,12 @@ This is a **custom convolutional neural network (CNN)** trained on the **CIFAR-1
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  ## Details
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- - **Architecture**: Custom Convolutional Neural Network (CNN)
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- - **Trained on**: CIFAR-10 (60,000 32x32 color images in 10 classes)
 
 
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  - **ONNX opset version**: 15
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- - **Conversion tool**: PyTorch → ONNX
 
 
 
 
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  ## Details
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+ - **Architecture**: Custom Convolutional Neural Network (CNN) with a Dropout layer
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+ - **Trained on**: CIFAR-10 (60,000 32x32 color images, 10 classes)
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+ - **Data Normalization**: `mean = [0.4914, 0.4822, 0.4465]` ; `std = [0.2023, 0.1994, 0.2010]`
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+ - **Dropout Probability**: 0.3
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  - **ONNX opset version**: 15
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+ - **Conversion tool**: PyTorch → ONNX
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