What is the tensor name for input data in Keras












0















As for as my understanding y_true , and y_pred is the tensors for ground truth and predicted results. what is the tensor name for input_data in keras. I need the tensor name for the input data to calculate the residual loss



(loss = y_true - input_data_tensor - y_pred). 


If define the custom loss function like the given below...



from keras import backend as K
def RESIDUAL_ERROR(inputs, y_true, y_pred):
loss_batch = K.reduce_mean(K.sqaure(y_true - inputs - y_pred))
print(loss_batch)
return loss_batch


But it give me the following error.



enter image description here










share|improve this question




















  • 2





    There is no such tensor in Keras.

    – Matias Valdenegro
    Jan 2 at 7:26
















0















As for as my understanding y_true , and y_pred is the tensors for ground truth and predicted results. what is the tensor name for input_data in keras. I need the tensor name for the input data to calculate the residual loss



(loss = y_true - input_data_tensor - y_pred). 


If define the custom loss function like the given below...



from keras import backend as K
def RESIDUAL_ERROR(inputs, y_true, y_pred):
loss_batch = K.reduce_mean(K.sqaure(y_true - inputs - y_pred))
print(loss_batch)
return loss_batch


But it give me the following error.



enter image description here










share|improve this question




















  • 2





    There is no such tensor in Keras.

    – Matias Valdenegro
    Jan 2 at 7:26














0












0








0








As for as my understanding y_true , and y_pred is the tensors for ground truth and predicted results. what is the tensor name for input_data in keras. I need the tensor name for the input data to calculate the residual loss



(loss = y_true - input_data_tensor - y_pred). 


If define the custom loss function like the given below...



from keras import backend as K
def RESIDUAL_ERROR(inputs, y_true, y_pred):
loss_batch = K.reduce_mean(K.sqaure(y_true - inputs - y_pred))
print(loss_batch)
return loss_batch


But it give me the following error.



enter image description here










share|improve this question
















As for as my understanding y_true , and y_pred is the tensors for ground truth and predicted results. what is the tensor name for input_data in keras. I need the tensor name for the input data to calculate the residual loss



(loss = y_true - input_data_tensor - y_pred). 


If define the custom loss function like the given below...



from keras import backend as K
def RESIDUAL_ERROR(inputs, y_true, y_pred):
loss_batch = K.reduce_mean(K.sqaure(y_true - inputs - y_pred))
print(loss_batch)
return loss_batch


But it give me the following error.



enter image description here







tensorflow keras






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 2 at 8:09







Siraj Muhammad

















asked Jan 2 at 6:36









Siraj MuhammadSiraj Muhammad

115




115








  • 2





    There is no such tensor in Keras.

    – Matias Valdenegro
    Jan 2 at 7:26














  • 2





    There is no such tensor in Keras.

    – Matias Valdenegro
    Jan 2 at 7:26








2




2





There is no such tensor in Keras.

– Matias Valdenegro
Jan 2 at 7:26





There is no such tensor in Keras.

– Matias Valdenegro
Jan 2 at 7:26












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