What is the tensor name for input data in Keras
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.
tensorflow keras
add a comment |
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.
tensorflow keras
2
There is no such tensor in Keras.
– Matias Valdenegro
Jan 2 at 7:26
add a comment |
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.
tensorflow keras
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.
tensorflow keras
tensorflow keras
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
add a comment |
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
add a comment |
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2
There is no such tensor in Keras.
– Matias Valdenegro
Jan 2 at 7:26