GuitarLSTM

commit 753fe9c2f5519447a7c9ed5b19596a1af9751314
parent 1ecbeed0232d9c556ca455273a051eb37d94979b
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Sat,  5 Dec 2020 08:08:12 -0600

Update README.md
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README.md
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1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
@@ -88,9 +88,10 @@ Helpful tips on training models:
 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 100.
-Increasing this setting will improve training accuracy, but the size 
-of the preprocessed wav data in RAM will increase as well.
+the "--input_size=" flag with train.py. The default setting is 100,
+which requires about 8GB of RAM. 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.