neural-amp-modeler

Neural network emulator for guitar amplifiers
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commit f16eb61a2fa321cc526ea05a82e9109306746840
parent aa265b356668f718d593f622f4e16f665e9508e7
Author: Luca Candela <[email protected]>
Date:   Mon,  6 Jun 2022 21:32:00 -0700

Update README.md (#29)

fixed a typo
Diffstat:
MREADME.md | 2+-
1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md @@ -70,7 +70,7 @@ If you want to mess with the model architecture and end up with a different rece field (e.g. by messing with the dilation pattern), then you need to make sure that `nx` is changed accordingly in the data setup. The default architecture has a receptive field of 8191 samples, so `nx` is `8191`. -Generally, for the conv net architecture the receptive field is one elss than the sum of the `dilations`. +Generally, for the conv net architecture the receptive field is one less than the sum of the `dilations`. You can train for shorter or longer. 1000 gives pretty great results, but if you're impatient you can sometimes get away with