GuitarLSTM

Deep learning models for guitar amp/pedal emulation using LSTM with Keras
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commit 1ecbeed0232d9c556ca455273a051eb37d94979b
parent a06147455497e4b36507d32db691f545d9815274
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Fri,  4 Dec 2020 20:34:06 -0600

Update README.md
Diffstat:
MREADME.md | 2+-
1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md @@ -88,7 +88,7 @@ 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 150. +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.