diff --git a/src/convolutional_kernels.cu b/src/convolutional_kernels.cu
index d7220010..6824083e 100644
--- a/src/convolutional_kernels.cu
+++ b/src/convolutional_kernels.cu
@@ -716,7 +716,8 @@ void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float
         // = weights_new*(1 - decay*lr) - weights_old*momentum*decay*lr + (weights_update_new + weights_update_old*momentum)*lr/batch
 
         //------------- RESULT --------------
-        // weights_newest = weights_new*(1 - decay*lr) - weights_old*momentum*(decay*lr) + (weights_update_new + weights_update_old*momentum)*lr/batch
+        // weights_newest = weights_new*(1 - decay*lr) - weights_old*momentum*(decay*lr) + (weights_update_new + weights_update_old*momentum)*lr/batch =
+        // = weights_new - (weights_new + weights_old*momentum)*decay*lr + (weights_update_new + weights_update_old*momentum)*lr / batch
         //-----------------------------------
     }
 }
diff --git a/src/image.c b/src/image.c
index 155afba9..60cd9cb3 100644
--- a/src/image.c
+++ b/src/image.c
@@ -739,7 +739,7 @@ void draw_train_loss(IplImage* img, int img_size, float avg_loss, float max_img_
     cvPutText(img, char_buff, pt1, &font, CV_RGB(0, 0, 0));
     cvShowImage("average loss", img);
     int k = cvWaitKey(20);
-    if (k == 's' || current_batch == (max_batches - 1)) {
+    if (k == 's' || current_batch == (max_batches - 1) || current_batch % 100 == 0) {
         cvSaveImage("chart.jpg", img, 0);
         cvPutText(img, "- Saved", cvPoint(250, img_size - 10), &font, CV_RGB(255, 0, 0));
     }