diff --git a/fcnn/main.py b/fcnn/main.py
index af01e0b..bfbc83d 100644
--- a/fcnn/main.py
+++ b/fcnn/main.py
@@ -5,7 +5,7 @@ from sklearn.model_selection import train_test_split
 from sklearn.metrics import classification_report
 
 def preprocess(img):
-    scale_percent = 15 
+    scale_percent = 10
     width = int(img.shape[1] * scale_percent / 100)
     height = int(img.shape[0] * scale_percent / 100)
     dim = (width, height)
@@ -16,7 +16,7 @@ def preprocess(img):
 def readData(data_links):
     x, y = [], []
     for link in data_links:
-        img = cv2.imread(link, cv2.IMREAD_GRAYSCALE)
+        img = cv2.imread(link, cv2.IMREAD_COLOR)
         img = preprocess(img)
         label = link.split("/")[1].split('_')[1]
         x.append(img)
@@ -31,8 +31,8 @@ x, y = readData(data_links)
 
 X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=42)
 
-clf = MLPClassifier(solver='adam', alpha=1e-5, hidden_layer_sizes=(1000, 500, 500), random_state=1, 
-    activation='relu', batch_size='auto', shuffle=True, verbose=True)
+clf = MLPClassifier(solver='adam', alpha=1e-5, hidden_layer_sizes=(1000, 700), random_state=1, 
+    activation='relu', batch_size='auto', shuffle=True, verbose=True, learning_rate='adaptive', n_iter_no_change=10)
 clf.fit(X_train, y_train)
 
 print("Score:")