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Hyperparameter Optimization v2

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Modify previously set-up hyperparameter optimization via Keras Tuner to select from:

  • type of network: LSTM, GRU
  • number of convolutional filters: 10 - 200
  • number of encoder layers: 1 - 3
  • number of RNN units: 64, 128, 256, 512, 800, 1024
  • L2 regularization value: 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6
  • maybe training parameters?
    • number of training epochs
    • learni…

Modify previously set-up hyperparameter optimization via Keras Tuner to select from:

  • type of network: LSTM, GRU
  • number of convolutional filters: 10 - 200
  • number of encoder layers: 1 - 3
  • number of RNN units: 64, 128, 256, 512, 800, 1024
  • L2 regularization value: 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6
  • maybe training parameters?
    • number of training epochs
    • learning rate
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