Try to fix the AI some more

WebServer/AIPython/aitrainer.py

@@ -35,12 +35,14 @@ def TrainAI():
     # Create the DNN
     dnn_model = Sequential([
         layers.Input(shape=(train_features.shape[1],)), # Load the feature count dynamically
-        layers.Dense(256, activation='elu'),
-        layers.Dropout(0.1),                    # Small dropout to prevent it from memorizing noise
-        layers.Dense(128, activation='elu'),
-        layers.Dropout(0.1),                    # Small dropout to prevent it from memorizing noise
-        layers.Dense(24, activation='elu'),
-        layers.Dense(1, activation='linear')
+        layers.Dense(256, activation='elu'),            # DNN layer
+        layers.BatchNormalization(),                    # Nomralize
+        layers.Dropout(0.1),                            # Small dropout to prevent it from memorizing noise
+        layers.Dense(128, activation='elu'),            # DNN layer
+        layers.BatchNormalization(),                    # Nomralize
+        layers.Dropout(0.1),                            # Small dropout to prevent it from memorizing noise
+        layers.Dense(24, activation='elu'),             # DNN layer
+        layers.Dense(1, activation='linear')            # DNN layer
     ])
 
     # Allow negative numbers