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params.yaml 437 B

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  1. # model name
  2. model_name: WaveNet
  3. # batch size used during fit
  4. batch_size: 64
  5. # number of epochs to train the model
  6. epochs: 120
  7. # number of simultaneous files to open
  8. file_batch_size: 5
  9. # save model at every n-th epoch (<=0 to disable)
  10. keep_checkpoint_at_every_n_epoch: 10
  11. # amount of overlap between consecutive windows
  12. window_overlap: 0.5
  13. Cnn:
  14. input_size: 32
  15. SmallCnn:
  16. input_size: 32
  17. WaveNet: {}
  18. TimeDistributedCnnLstm: {}
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