Update README.md

README.md

@@ -6,7 +6,6 @@ tags:
   - tensorflow
   - keras
   - fashion-mnist
-  - academic-project
 datasets:
   - fashion_mnist
 metrics:
@@ -16,10 +15,10 @@ metrics:
   - f1
 ---
 
-# Deep CNN for Fashion MNIST – Tuned Stage 3 Model
+# Deep CNN for Fashion MNIST – Stage 3 Model Tuning
 
-This model is part of a staged academic project exploring convolutional neural networks for clothing classification using the Fashion MNIST dataset.  
-Stage 3 introduced architectural tuning with Batch Normalisation and Dropout for better regularisation and performance.
+This model is part of a structured project focused on building and improving deep convolutional neural networks (CNNs) for clothing item classification using the Fashion MNIST dataset.  
+This is **Stage 3**, where architectural tuning with Batch Normalisation and Dropout was introduced to improve performance and generalisation.
 
 ## Architecture Summary
 
@@ -27,7 +26,7 @@ Stage 3 introduced architectural tuning with Batch Normalisation and Dropout for
 - Batch Normalisation + ReLU after each
 - MaxPooling after each block
 - Dropout applied after conv blocks and dense layer
-- Dense(128) → Dense(10) Softmax output
+- Dense(128) → Dense(10) with softmax output
 
 ## Evaluation Metrics (on Test Set)