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{
"model_type": "custom",
"architecture": "sequential",
"layers": [
{
"type": "embedding",
"input_dim": 97649,
"output_dim": 100,
"input_length": 100
},
{
"type": "lstm",
"units": 64,
"activation": "tanh"
},
{
"type": "dense",
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"activation": "relu"
},
{
"type": "dropout",
"rate": 0.5
},
{
"type": "dense",
"units": 16,
"activation": "relu"
},
{
"type": "dense",
"units": 100,
"activation": "sigmoid"
}
],
"optimizer": "adam",
"loss": "mean_squared_error"
}
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