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## KerasBoard.py
import datetime
import os

log_dir = os.path.join( "logs", "fit", datetime.datetime.now().strftime("%Y%m%d-%H%M%S") )
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)

resultados = modelo.fit(x_train, y_train, batch_size = 6000, epochs=99, callbacks=[tensorboard_callback])

## tutorialKeras.ipynb

      
        
          
            
              
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                esdonto
                / tutorialKeras.ipynb
            
            
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              November 16, 2019 04:10
            
          
        
      
        
  
    
    

          
    
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	import datetime
	import os

	log_dir = os.path.join( "logs", "fit", datetime.datetime.now().strftime("%Y%m%d-%H%M%S") )
	tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)

	resultados = modelo.fit(x_train, y_train, batch_size = 6000, epochs=99, callbacks=[tensorboard_callback])