Update README.md

README.md

@@ -54,9 +54,10 @@ Train the Model: Use the provided code to train the model on your dataset.
 Evaluate: Test the model on a separate set of images to assess performance.
 
 
-
 ## Training Details
 
+
+
 ### Training Data
 
 -Dataset: DataScienceProject/Art_Images_Ai_And_Real_
@@ -65,20 +66,32 @@ Evaluate: Test the model on a separate set of images to assess performance.
 
 ### Training Procedure
 
-Images are resized to a uniform dimension and normalized. ELA is applied to emphasize artifacts in the images.
-
+Train the CNN with the Preprocessed images , use valitadion set.
 
 
 #### Training Hyperparameters
 
 
+optimizer = RMSprop(lr=0.0005, rho=0.9, epsilon=1e-08, decay=0.0)
+epochs = 22
+batch_size = 100
+loss = "categorical_crossentropy"
+metrics=["accuracy"]
+early_stopping = EarlyStopping(monitor='val_acc',min_delta=0,patience=2,verbose=0, mode='auto')
+
 
 ## Evaluation
 
 
 
+
 ### Testing Data, Factors & Metrics
 
+precision 
+recall
+f1 
+confusion_matrix
+accuracy
 
 #### Testing Data
 
@@ -92,6 +105,7 @@ Images are resized to a uniform dimension and normalized. ELA is applied to emph
 
 
 
+
 ### Results