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Conflicts: run/run_CNN.py
2 parents 5c1adbc + 7d597b5 commit 54c663e

25 files changed

Lines changed: 360 additions & 317 deletions

‎config/CNN/conv_spec.json‎

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{
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"comment" : "layers :: convolution layer configuration",
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"layers": [
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{
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"convmat_dim" : [5,5],
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"num_filters" : 100,
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"poolsize" : [2,2],
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"flatten" : false,
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"update" : true
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},
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{
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"convmat_dim" : [4,4],
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"num_filters" : 200,
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"poolsize" : [2,2],
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"flatten" : true,
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"update" : true
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}
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"conv_spec":{
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"comment" : "layers :: convolution layer configuration",
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"layers": [
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{
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"convmat_dim" : [5,5],
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"num_filters" : 100,
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"poolsize" : [2,2],
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"flatten" : false,
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"update" : true
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},
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{
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"convmat_dim" : [4,4],
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"num_filters" : 200,
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"poolsize" : [2,2],
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"flatten" : true,
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"update" : true
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}
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],
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"comment" : "activation :: sigmoid or tanh",
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"activation" : "tanh",
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"comment" : "activation :: sigmoid or tanh",
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"activation" : "tanh",
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"comment" : "use_fast :: To use pylearn2 library for faster computation or not",
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"use_fast" : false
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},
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"mlp_spec":{
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"comment" : "layers :: hidden layer configuration",
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"layers": [500,200],
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"comment" : "use_fast :: To use pylearn2 library for faster computation or not",
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"use_fast" : false
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"comment" : "activation :: sigmoid or tanh",
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"activation" : "tanh"
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}
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}

‎config/CNN/data_spec.json‎

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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : false,
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"reader_type" : "NP"
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},
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : false,
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"reader_type" : "NP"
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},
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : false,
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"reader_type" : "NP"
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}

‎config/CNN/model_conf.json‎

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"comment" : "valid_data (Mandatory) specify the path of the validation data relative to the working directory",
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"data_spec" : "data_spec.json",
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"comment" : "hidden_nnet_spec :: (Mandatory) specify the path of hidden network configuration specification relative to working directory",
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"hidden_nnet_spec" : "mlp_spec.json",
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"comment" : "conv_nnet_spec :: (Mandatory) specify the path of convolution network configuration specification relative to working directory",
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"conv_nnet_spec" : "conv_spec.json",
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"comment" : "nnet_spec :: (Mandatory) specify the path of network configuration specification relative to working directory",
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"nnet_spec" : "conv_spec.json",
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"comment" : "hidden_output_file :: (Mandatory) specify the path of convolution network output file relative to working directory",
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"hidden_output_file" : "hidden_out.model",
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"comment" : "conv_output_file :: (Mandatory) specify the path of convolution network output file relative to working directory",
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"conv_output_file" : "conv_out.model",
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"comment" : "conv_output_file :: (Mandatory) specify the path of convolution network output file relative to working directory",
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"output_file" : "conv_out.model",
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"comment" : "input_shape :: (Mandatory) specify the input shape of a given feature vector" ,
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"input_shape" : [3,28,28],
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"min_epoch_decay_start" : 15,
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"init_error" :100
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},
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"processes":{
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"pretraining":false,
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"finetuning":true,
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"testing":true,
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"export_data":false
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},
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"export_path" : "data/export"
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}

‎config/CNN1/data_spec.json‎

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"random_seed" : 123,
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"input_shape" : [1,10,5],
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"dim_shuffle" : [0,1,2,3],
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"batch_size": 8,
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"keep_flatten" : false,
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"reader_type" : "T1"
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},
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"random_seed" : 123,
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"input_shape" : [1,10,5],
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"dim_shuffle" : [0,1,2,3],
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"batch_size": 8,
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"keep_flatten" : false,
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"reader_type" : "T1"
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},
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"random_seed" : 123,
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"input_shape" : [1,10,5],
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"dim_shuffle" : [0,1,2,3],
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"batch_size": 8,
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"keep_flatten" : false,
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"reader_type" : "T1"
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}

‎config/CNN1/model_conf.json‎

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"comment" : "valid_data (Mandatory) specify the path of the validation data relative to the working directory",
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"data_spec" : "data_spec.json",
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"comment" : "hidden_nnet_spec :: (Mandatory) specify the path of hidden network configuration specification relative to working directory",
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"hidden_nnet_spec" : "mlp_spec.json",
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"comment" : "conv_nnet_spec :: (Mandatory) specify the path of convolution network configuration specification relative to working directory",
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"conv_nnet_spec" : "conv_spec.json",
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"nnet_spec" : "conv_spec.json",
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"comment" : "hidden_output_file :: (Mandatory) specify the path of convolution network output file relative to working directory",
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"hidden_output_file" : "hidden_out.model",
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"min_epoch_decay_start" : 15,
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"init_error" :100
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},
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"processes":{
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"pretraining":false,
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"finetuning":true,
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"testing":true,
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"export_data":false,
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},
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"export_path" : "data/export"
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}

‎config/DBN/data_spec.json‎

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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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},
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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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},
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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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}

‎config/DBN/model_conf.json‎

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"data_spec" : "data_spec.json",
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"comment" : "rbm_nnet_spec:: (Mandatory) specify the path of RBM network configuration specification relative to working directory",
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"rbm_nnet_spec" : "rbm_spec.json",
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"nnet_spec" : "rbm_spec.json",
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"comment" : "output_file :: (Mandatory) specify the path of RBM network output file relative to working directory",
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"output_file" : "rbm_out.model",
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},
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"comment" : "finetune_momentum :: Specify the momentum factor while finetuning",
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"finetune_momentum": 0.5
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"finetune_momentum": 0.5,
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"processes":{
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"pretraining":false,
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"finetuning":true,
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"testing":true,
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"export_data":false
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}
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}

‎config/DBN/rbm_spec.json‎

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"n_outs":200,
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"comment" : "activation :: sigmoid or tanh",
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"activation" : "tanh",
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"activation" : "sigmoid",
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"comment" : "pretrained_layers:number of layers to be pre-trained",
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"pretrained_layers" : 5,

‎config/SDA/data_spec.json‎

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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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},
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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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},
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"partition" : 200,
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"random" : true,
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"random_seed" : 123,
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"dim_shuffle" : [0,3,2,1],
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"batch_size": 256,
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"keep_flatten" : true,
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"reader_type" : "NP"
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}

‎config/SDA/model_conf.json‎

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"data_spec" : "data_spec.json",
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"comment" : "sda_nnet_spec:: (Mandatory) specify the path of SDA network configuration specification relative to working directory",
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"sda_nnet_spec" : "sda_spec.json",
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"nnet_spec" : "sda_spec.json",
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"comment" : "output_file :: (Mandatory) specify the path of SDA network output file relative to working directory",
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"output_file" : "sda_out.model",
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},
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"comment" : "finetune_momentum :: Specify the momentum factor while finetuning",
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"finetune_momentum": 0.5
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"finetune_momentum": 0.5,
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"processes":{
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"pretraining":true,
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"finetuning":true,
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"testing":true,
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"export_data":false
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}
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}

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