Update README.md

README.md

@@ -207,9 +207,10 @@ model.save("Animal_Classification.h5")
 | 5 | Preprocessing & augmentation |
 | 6 | Dataset pipeline (train/val/test) |
 | 7 | CNN architecture |
-| 8 | Training |
-| 9 | Evaluation |
-|10 | Save model |
+| 8 | Feature Extraction |
+| 9 | Model Fine-Tuning |
+| 10 | Evaluation |
+|11 | Save model |
 
 ---
 
@@ -243,10 +244,11 @@ This project presents a **complete end-to-end deep learning pipeline** for **mul
 | **6. Exploratory Data Analysis** | Visualizations & summary statistics |
 | **7. Preprocessing & Augmentation** | Data preparation logic |
 | **8. CNN Model Architecture** | Layers, blocks, hyperparameters |
-| **9. Training & Callbacks** | How the model is trained |
-| **10. Evaluation Metrics** | Reports, ROC curve, confusion matrix |
-| **11. Model Export** | Saving and downloading the model |
-| **12. Code Examples** | Important snippets explained |
+| **9. Feature Extraction & Callbacks** | How the model is extracting feature before fine-tuning |
+| **10. Model Fine-Tuning** | How the model is fine-tuned after extracted features |
+| **11. Evaluation Metrics** | Reports, ROC curve, confusion matrix |
+| **12. Model Export** | Saving and downloading the model |
+| **13. Code Examples** | Important snippets explained |
 
 ---