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README.md

@@ -27,27 +27,26 @@ This model fine-tunes **AlexNet** using Transfer Learning to classify images int
 
 **Confusion Matrix:**
 
-[[ 659 1841]
- [1126 1374]]
+[[ 659 1841] [1126 1374]]
 ---
 
-### ✅ **After Training**
+## **✅ Performance After Training**  
+**Training Accuracy:** **92.40%**  
+- **Precision:** 0.9250  
+- **Recall:** 0.9240  
+- **F1-score:** 0.9240  
 
-** Train Accuracy:** 92.40%,
-- Precision: 0.9250,
-- Recall: 0.9240, 
-- F1-score: 0.9240,
-- Confusion Matrix:
+**Confusion Matrix:**
  [[9486  514]
  [1006 8994]]
 
 
-** Validation Accuracy:** 94.10%
-- Precision: 0.9425, 
-- Recall: 0.9410, 
-- F1-score: 0.9410,
+**Validation Accuracy:** **94.10%**  
+- **Precision:** 0.9425  
+- **Recall:** 0.9410  
+- **F1-score:** 0.9410  
 
-- Confusion Matrix:
+**Confusion Matrix:**
  [[2425   75]
  [ 220 2280]]