GuitarLSTM

commit 80c46853b2ea8dd9c62de079fe59a7e7102dff16
parent f1ec9961a50ee4b62c2e530022cc7ed2b5d812f6
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Fri,  4 Dec 2020 14:27:16 -0600

Update README.md
Diffstat:
M
README.md
 | 
4
++--

1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
@@ -89,8 +89,8 @@ This implementation of the LSTM model uses a high amount of
 RAM to preprocess wav data. If you experience crashes due to 
 limited memory, reduce the "input_size" parameter by using 
 the "--input_size=" flag with train.py. The default setting is 150.
-Increasing this setting will improve training accuraccy, but size of 
-the preprocessed wav data will increase as well.
+Increasing this setting will improve training accuracy, but the size 
+of the preprocessed wav data in RAM will increase as well.
 
 Adding a custom dataloader would reduce RAM usage at the cost of
 training speed, and will be a focus of future work.