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README.md

@@ -1,14 +1,32 @@
 
 ---
-language: he
+language: en
 license: mit
 tags:
 - keras
 - mnist
 - image-classification
+- cnn
 datasets: mnist
 model-type: image-classification
 ---
 # MNIST Classification Model
 
-מודל פשוט לזיהוי ספרות בכתב יד, מאומן על מאגר הנתונים MNIST.
+An improved CNN model for handwritten digit recognition, trained on the MNIST dataset.
+
+## Model Architecture
+- Uses Convolutional layers (CNN)
+- Data Augmentation for improved performance
+- Batch Normalization
+- Dropout for preventing Overfitting
+- Dense layers with ReLU activation
+
+## Parameters
+- Optimizer: Adam (lr=0.001)
+- Loss: Sparse Categorical Crossentropy
+- Metrics: Accuracy
+- Epochs: 20 (with Early Stopping)
+- Batch Size: 32
+
+## Performance
+Test Accuracy: 0.9884