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 ```