GuitarLSTM

Deep learning models for guitar amp/pedal emulation using LSTM with Keras
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commit 05ae7def091e9910254b6add376d45b9a4a9ce73
parent 11aaaacca8d08e45216259075da68d99c3a34dd3
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Fri,  5 Feb 2021 06:13:27 -0600

Update guitar_lstm_colab.ipynb

Updated comments to match new data loading and MSE for loss calculation
Diffstat:
Mguitar_lstm_colab.ipynb | 5++---
1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/guitar_lstm_colab.ipynb b/guitar_lstm_colab.ipynb @@ -11,13 +11,12 @@ "# TO USE: \n", "# 1. Upload your input and output wav files to the current directory in Colab\n", "# 2. Edit the USER INPUTS section to point to your wav files, and choose a\n", - "# model name, and number of epochs for training. If you experience \n", - "# crashing due to low RAM, reduce the \"input_size\" parameter, or increase\n", - "# the \"split_data\" parameter.\n", + "# model name, and number of epochs for training. \n", "# 3. Run each section of code. The trained models and output wav files will be \n", "# added to the \"models\" directory.\n", "#\n", "# Note: Tested on CPU and GPU runtimes.\n", + "# Note: Uses MSE for loss calculation instead of Error to Signal with Pre-emphasis filter\n", "\n", "import tensorflow as tf\n", "from tensorflow.keras import Sequential\n",