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config-lstm.json
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{
"paths": {
"save_dir": "results",
"log_dir": "logs"
},
"data": {
"filename": "./dataset/phi025-025_eta025-025_filtered.csv",
"train_split": 0.70,
"normalise": true,
"cylindrical": false
},
"training": {
"epochs": 20,
"batch_size": 32,
"save_model": true,
"load_model": false,
"use_gpu": true
},
"model": {
"name": "lstm",
"loss": "mse",
"optimizer": "RMSprop",
"layers": [
{
"type": "lstm",
"neurons": 200,
"input_timesteps": 4,
"input_features": 3,
"return_seq": true
},
{
"type": "lstm",
"neurons": 200,
"return_seq": false
},
{
"type": "dense",
"neurons": 400,
"activation": "tanh"
},
{
"type": "activation",
"activation": "tanh"
},
{
"type": "repeatvector",
"neurons": 50
},
{
"type": "lstm",
"neurons": 200,
"return_seq": true
},
{
"type": "lstm",
"neurons": 200,
"return_seq": true
},
{
"type": "timedistributed",
"neurons": 3
},
{
"type": "activation",
"activation": "linear"
}
]
}
}