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@Rafi993
Created April 24, 2018 07:48
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trained model
{
"modelTopology": {
"backend": "tensorflow",
"training_config": {
"loss_weights": null,
"loss": "categorical_crossentropy",
"metrics": ["accuracy"],
"optimizer_config": {
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"epsilon": 1e-08,
"lr": 0.0010000000474974513,
"decay": 0.0
},
"class_name": "RMSprop"
},
"sample_weight_mode": null
},
"keras_version": "2.0.3",
"model_config": {
"config": {
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["activation_6", 0, 0]
],
"input_layers": [
["input_5", 0, 0],
["input_6", 0, 0]
],
"layers": [{
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"batch_input_shape": [null, 156],
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"name": "input_5"
},
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}, {
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"batch_input_shape": [null, 6],
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"name": "input_6"
},
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"class_name": "InputLayer",
"name": "input_6"
}, {
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"dtype": "int32",
"name": "embedding_7",
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"embeddings_initializer": {
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},
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}
},
"class_name": "Embedding"
}, {
"config": {
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},
"class_name": "Dropout"
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]
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}
},
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},
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"class_name": "Dot",
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}, {
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["dot_3", 0, 0, {}]
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],
"class_name": "Activation",
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"config": [{
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},
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"config": {
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},
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]
],
"class_name": "Sequential",
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"config": {
"name": "add_3",
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["sequential_8", 1, 0, {}]
]
],
"class_name": "Add",
"name": "add_3"
}, {
"config": {
"name": "permute_3",
"trainable": true,
"dims": [2, 1]
},
"inbound_nodes": [
[
["add_3", 0, 0, {}]
]
],
"class_name": "Permute",
"name": "permute_3"
}, {
"config": {
"axis": -1,
"trainable": true,
"name": "concatenate_3"
},
"inbound_nodes": [
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["sequential_9", 1, 0, {}]
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],
"class_name": "Concatenate",
"name": "concatenate_3"
}, {
"config": {
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"recurrent_initializer": {
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"seed": null
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"dropout": 0.0,
"kernel_initializer": {
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"seed": null,
"mode": "fan_avg"
},
"class_name": "VarianceScaling"
},
"bias_initializer": {
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},
"implementation": 0,
"activity_regularizer": null,
"trainable": true,
"bias_constraint": null,
"stateful": false,
"recurrent_constraint": null,
"recurrent_activation": "hard_sigmoid",
"unroll": false,
"recurrent_regularizer": null,
"go_backwards": false,
"kernel_constraint": null,
"name": "lstm_3",
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"return_sequences": false,
"units": 32,
"unit_forget_bias": true,
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"kernel_regularizer": null
},
"inbound_nodes": [
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]
],
"class_name": "LSTM",
"name": "lstm_3"
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"trainable": true,
"rate": 0.3
},
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]
],
"class_name": "Dropout",
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"activity_regularizer": null,
"bias_regularizer": null,
"units": 38,
"bias_initializer": {
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},
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"mode": "fan_avg"
},
"class_name": "VarianceScaling"
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"trainable": true,
"bias_constraint": null,
"use_bias": true
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"inbound_nodes": [
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["dropout_12", 0, 0, {}]
]
],
"class_name": "Dense",
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}, {
"config": {
"activation": "softmax",
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},
"inbound_nodes": [
[
["dense_3", 0, 0, {}]
]
],
"class_name": "Activation",
"name": "activation_6"
}],
"name": "model_3"
},
"class_name": "Model"
}
},
"weightsManifest": [{
"weights": [{
"name": "dense_3/kernel",
"shape": [32, 38],
"dtype": "float32"
}, {
"name": "dense_3/bias",
"shape": [38],
"dtype": "float32"
}],
"paths": ["group1-shard1of1"]
}, {
"weights": [{
"name": "lstm_3/kernel",
"shape": [220, 128],
"dtype": "float32"
}, {
"name": "lstm_3/recurrent_kernel",
"shape": [32, 128],
"dtype": "float32"
}, {
"name": "lstm_3/bias",
"shape": [128],
"dtype": "float32"
}],
"paths": ["group2-shard1of1"]
}, {
"weights": [{
"name": "embedding_7/embeddings",
"shape": [38, 64],
"dtype": "float32"
}],
"paths": ["group3-shard1of1"]
}, {
"weights": [{
"name": "embedding_8/embeddings",
"shape": [38, 6],
"dtype": "float32"
}],
"paths": ["group4-shard1of1"]
}, {
"weights": [{
"name": "embedding_9/embeddings",
"shape": [38, 64],
"dtype": "float32"
}],
"paths": ["group5-shard1of1"]
}]
}
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