JKCS/src/model.js

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              ragged: false,
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              strides: [2, 2],
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              filters: 60,
              kernel_size: [3, 3],
              strides: [1, 1],
              padding: 'same',
              data_format: 'channels_last',
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              trainable: true,
              dtype: 'float32',
              pool_size: [2, 2],
              padding: 'same',
              strides: [2, 2],
              data_format: 'channels_last'
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            class_name: 'Reshape',
            config: {
              name: 'reshape',
              trainable: true,
              dtype: 'float32',
              target_shape: [-1, 1200]
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          },
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              trainable: true,
              dtype: 'float32',
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                config: {
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                  dtype: 'float32',
                  return_sequences: true,
                  return_state: false,
                  go_backwards: false,
                  stateful: false,
                  unroll: false,
                  time_major: false,
                  units: 200,
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                  use_bias: true,
                  kernel_initializer: {
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                    config: { seed: null }
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                    config: { gain: 1.0, seed: null }
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                  kernel_regularizer: null,
                  recurrent_regularizer: null,
                  bias_regularizer: null,
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                  dropout: 0.0,
                  recurrent_dropout: 0.0,
                  implementation: 2
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              merge_mode: 'concat'
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              dtype: 'float32',
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              activation: 'softmax',
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              kernel_initializer: {
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      weighted_metrics: null,
      loss_weights: null,
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          rho: 0.9,
          momentum: 0.0,
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}
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