From d975e822b824315dfc6fa11a5af0450e42c6b0bf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Philippe=20R=C3=A9my?= <premy@cogent.co.jp>
Date: Thu, 27 Apr 2017 16:48:02 +0900
Subject: [PATCH] Update README.md

---
 README.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index f0263a3..b86db28 100644
--- a/README.md
+++ b/README.md
@@ -56,11 +56,11 @@ Because it's impossible to classify pure random time series into two distinct cl
   <img src="fig/2.png" width="400"><br><br>
 </div>
 
-### Output example
+### Keep in mind that LSTM is also good!
 ```
-[TRAINING] #batch = 198, tr_loss = 0.074
-[TRAINING] #batch = 199, tr_loss = 0.229
-[TRAINING] #batch = 200, tr_loss = 0.075
-[TESTING] #batch = 200, te_loss = 0.094, te_acc = 0.992
-[ALL] total batches = 200 total mean accuracy on testing set = 0.99
+python3 lstm_keras.py # on correlation classification task
+[...]
+[test] loss= 0.021, acc= 100.00
+[test] loss= 0.004, acc= 100.00
+[test] loss= 0.004, acc= 100.00
 ```