Final2

skin_cancer_classification.py

@@ -356,7 +356,7 @@ x = Dense(512, activation='relu')(x) # Added another Dense layer
 x = Dense(256, activation='relu')(x) # Existing Dense layer
 predictions = Dense(1, activation='sigmoid')(x) # Output layer for binary classification
 
-model = Model(inputs=base_model.input, outputs=predictions)
+model = Model(inputs=inputs, outputs=predictions)
 model.compile(optimizer=Adam(learning_rate=0.0001), loss='binary_crossentropy', metrics=['accuracy'])
 
 """## 4. Data Generators