neural-amp-modeler

Neural network emulator for guitar amplifiers
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wavenet.json (1817B)

      1 {
      2     "_notes": [
      3         "Dev note: Ensure that tests/test_bin/test_train/test_main.py's data is ",
      4         "representative of this!"
      5     ],
      6     "net": {
      7         "name": "WaveNet",
      8         "config": {
      9             "layers_configs": [
     10                 {
     11                     "condition_size": 1,
     12                     "input_size": 1,
     13                     "channels": 16,
     14                     "head_size": 8,
     15                     "kernel_size": 3,
     16                     "dilations": [
     17                         1,
     18                         2,
     19                         4,
     20                         8,
     21                         16,
     22                         32,
     23                         64,
     24                         128,
     25                         256,
     26                         512
     27                     ],
     28                     "activation": "Tanh",
     29                     "gated": false,
     30                     "head_bias": false
     31                 },
     32                 {
     33                     "condition_size": 1,
     34                     "input_size": 16,
     35                     "channels": 8,
     36                     "head_size": 1,
     37                     "kernel_size": 3,
     38                     "dilations": [
     39                         1,
     40                         2,
     41                         4,
     42                         8,
     43                         16,
     44                         32,
     45                         64,
     46                         128,
     47                         256,
     48                         512
     49                     ],
     50                     "activation": "Tanh",
     51                     "gated": false,
     52                     "head_bias": true
     53                 }
     54             ],
     55             "head_scale": 0.02
     56         }
     57     },
     58     "optimizer": {
     59         "lr": 0.004
     60     },
     61     "lr_scheduler": {
     62         "class": "ExponentialLR",
     63         "kwargs": {
     64             "gamma": 0.993
     65         }
     66     }
     67 }