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Curie-Web
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Curie-Web/app/prod/model_arch.json

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{
"class_name": "Sequential",
"config": {
"name": "sequential",
"layers": [
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{
"class_name": "InputLayer",
"config": {
"batch_input_shape": [
null,
null,
47
],
"dtype": "float32",
"sparse": false,
"ragged": false,
"name": "lstm_input"
}
},
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{
"class_name": "LSTM",
"config": {
"name": "lstm",
"trainable": true,
"batch_input_shape": [
null,
null,
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],
"dtype": "float32",
"return_sequences": true,
"return_state": false,
"go_backwards": false,
"stateful": false,
"unroll": false,
"time_major": false,
"units": 256,
"activation": "tanh",
"recurrent_activation": "sigmoid",
"use_bias": true,
"kernel_initializer": {
"class_name": "RandomNormal",
"config": {
"mean": 0.0,
"stddev": 0.05,
"seed": 71
}
},
"recurrent_initializer": {
"class_name": "Orthogonal",
"config": {
"gain": 1.0,
"seed": null
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {}
},
"unit_forget_bias": true,
"kernel_regularizer": null,
"recurrent_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"recurrent_constraint": null,
"bias_constraint": null,
"dropout": 0.3,
"recurrent_dropout": 0.0,
"implementation": 2
}
},
{
"class_name": "LSTM",
"config": {
"name": "lstm_1",
"trainable": true,
"batch_input_shape": [
null,
null,
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],
"dtype": "float32",
"return_sequences": true,
"return_state": false,
"go_backwards": false,
"stateful": false,
"unroll": false,
"time_major": false,
"units": 256,
"activation": "tanh",
"recurrent_activation": "sigmoid",
"use_bias": true,
"kernel_initializer": {
"class_name": "RandomNormal",
"config": {
"mean": 0.0,
"stddev": 0.05,
"seed": 71
}
},
"recurrent_initializer": {
"class_name": "Orthogonal",
"config": {
"gain": 1.0,
"seed": null
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {}
},
"unit_forget_bias": true,
"kernel_regularizer": null,
"recurrent_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"recurrent_constraint": null,
"bias_constraint": null,
"dropout": 0.5,
"recurrent_dropout": 0.0,
"implementation": 2
}
},
{
"class_name": "Dense",
"config": {
"name": "dense",
"trainable": true,
"dtype": "float32",
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"units": 47,
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"activation": "softmax",
"use_bias": true,
"kernel_initializer": {
"class_name": "RandomNormal",
"config": {
"mean": 0.0,
"stddev": 0.05,
"seed": 71
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {}
},
"kernel_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
}
}
]
},
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"keras_version": "2.4.0",
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"backend": "tensorflow"
}