コード例 #1
0
ファイル: train.py プロジェクト: drat/WD_Faker
 def save_model_weights():
     encoder  .save_weights( "models/encoder.h5"   )
     decoder_A.save_weights( "models/decoder_A.h5" )
     decoder_B.save_weights( "models/decoder_B.h5" ) 
     print( "\nSave model weights" )
コード例 #2
0
def save_model_weights():
    encoder  .save_weights( "/input/data/models/encoder.h5"   )
    decoder_A.save_weights( "/input/data/models/decoder_A.h5" )
    decoder_B.save_weights( "/input/data/models/decoder_B.h5" )
    print( "save model weights" )
コード例 #3
0
ファイル: MdlTrain.py プロジェクト: Temuult/Deepswap_Release
def save_model_weights(mdl):
    encoder.save_weights(mdl + "/encoder.h5")
    decoder_A.save_weights(mdl + "/decoder_A.h5")
    decoder_B.save_weights(mdl + "/decoder_B.h5")
    print("Savign model weights")
コード例 #4
0
def save_model_weights():
    encoder  .save_weights(modelpath +  "models/encoder.h5"   )
    decoder_A.save_weights(modelpath +  "models/decoder_A.h5" )
    decoder_B.save_weights(modelpath +  "models/decoder_B.h5" )
    print( "save model weights" )
コード例 #5
0
def save_model_weights():
    encoder  .save_weights( "models/encoder.h5"   )
    decoder_A.save_weights( "models/decoder_A.h5" )
    decoder_B.save_weights( "models/decoder_B.h5" )
    print( "save model weights" )