Esempio n. 1
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 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" )
Esempio n. 2
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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" )
Esempio n. 3
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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")
Esempio n. 4
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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" )
Esempio n. 5
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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" )