From 4373f897f1a5efd1a58746c44430dc33df925415 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 07 Feb 2018 22:07:19 +0000
Subject: [PATCH] Fixed densenet201_yolo.cfg - burn_in and poly policy, that changes learning rate

---
 README.md |    2 +-
 1 files changed, 1 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 692fb44..20efec6 100644
--- a/README.md
+++ b/README.md
@@ -272,7 +272,7 @@
 
 8. Start training by using the command line: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23`
 
-    (file `yolo-obj_xxx.weights` will be saved to the `build\darknet\x64\backup\` for each 100 iterations until 1000 iterations has been reached, and after for each 1000 iterations)
+    (file `yolo-obj_xxx.weights` will be saved to the `build\darknet\x64\backup\` for each 100 iterations)
 
 9. After training is complete - get result `yolo-obj_final.weights` from path `build\darknet\x64\backup\`
 

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