Isaac Essel kaeflint

## attention_decoder.py
import tensorflow as tf
from keras import backend as K
from keras import regularizers, constraints, initializers, activations
from keras.layers.recurrent import Recurrent, _time_distributed_dense
from keras.engine import InputSpec

tfPrint = lambda d, T: tf.Print(input_=T, data=[T, tf.shape(T)], message=d)

class AttentionDecoder(Recurrent):

## live_loss_plot_keras.ipynb

      
        
          
            
              
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                kaeflint
                / live_loss_plot_keras.ipynb
            
            
              Created
              February 10, 2018 00:52
                — forked from stared/live_loss_plot_keras.ipynb
            
              
                Live loss plot for training models in Keras
              
          
        
      
        
  
    
    

          
    
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	import tensorflow as tf
	from keras import backend as K
	from keras import regularizers, constraints, initializers, activations
	from keras.layers.recurrent import Recurrent, _time_distributed_dense
	from keras.engine import InputSpec

	tfPrint = lambda d, T: tf.Print(input_=T, data=[T, tf.shape(T)], message=d)

	class AttentionDecoder(Recurrent):