fix some utils bugs v2

Author: MrGemy95

configs/example.json

@@ -4,5 +4,6 @@
   "num_iter_per_epoch": 10,
   "learning_rate": 0.001,
   "batch_size": 16,
-  "state_size": [784]
+  "state_size": [784],
+  "max_to_keep":5
 }

mains/example.py

@@ -26,6 +26,8 @@ def main():
     sess = tf.Session()
     # create instance of the model you want
     model = ExampleModel(config)
+    #load model if exist
+    model.load(sess)
     # create your data generator
     data = DataGenerator(config)
     # create tensorboard logger

trainers/example_trainer.py

@@ -22,7 +22,7 @@ def train_epoch(self):
         summaries_dict['loss'] = loss
         summaries_dict['acc'] = acc
         self.logger.summarize(cur_it, summaries_dict=summaries_dict)
-
+        self.model.save(self.sess)
     def train_step(self):
         batch_x, batch_y = next(self.data.next_batch(self.config.batch_size))
         feed_dict = {self.model.x: batch_x, self.model.y: batch_y, self.model.is_training: True}