How can I access to loss value in Keras LSTM implementation? Unicorn Meta Zoo #1: Why another podcast? Announcing the arrival of Valued Associate #679: Cesar Manara 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsKeras categorical_crossentropy loss (and accuracy)Keras custom loss - operation on additional dataKeras LSTM: use weights from Keras model to replicate predictions using numpyKeras custom loss using multiple inputUnderstanding LSTM behaviour: Validation loss smaller than training loss throughout training for regression problemKeras- LSTM answers different sizeKeras LSTM accuracy stuck at 50%Is there any standard or normal range for the amount of LSTM loss function?How to design a many-to-many LSTM?How to balance Keras loss functions of different magnitudes
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How can I access to loss value in Keras LSTM implementation?
Unicorn Meta Zoo #1: Why another podcast?
Announcing the arrival of Valued Associate #679: Cesar Manara
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsKeras categorical_crossentropy loss (and accuracy)Keras custom loss - operation on additional dataKeras LSTM: use weights from Keras model to replicate predictions using numpyKeras custom loss using multiple inputUnderstanding LSTM behaviour: Validation loss smaller than training loss throughout training for regression problemKeras- LSTM answers different sizeKeras LSTM accuracy stuck at 50%Is there any standard or normal range for the amount of LSTM loss function?How to design a many-to-many LSTM?How to balance Keras loss functions of different magnitudes
$begingroup$
I use Keras library and it's LSTM model. When I train my network I can see loss value in my program execution console. I like to know how can I access to this value in my code?
keras lstm loss-function
asked Apr 5 at 19:17
user145959user145959
1579
$endgroup$
add a comment |
$begingroup$
I use Keras library and it's LSTM model. When I train my network I can see loss value in my program execution console. I like to know how can I access to this value in my code?
keras lstm loss-function
asked Apr 5 at 19:17
user145959user145959
1579
$endgroup$
add a comment |
$begingroup$
I use Keras library and it's LSTM model. When I train my network I can see loss value in my program execution console. I like to know how can I access to this value in my code?
keras lstm loss-function
asked Apr 5 at 19:17
user145959user145959
1579
$endgroup$
I use Keras library and it's LSTM model. When I train my network I can see loss value in my program execution console. I like to know how can I access to this value in my code?
keras lstm loss-function
keras lstm loss-function
asked Apr 5 at 19:17
user145959user145959
1579
asked Apr 5 at 19:17
user145959user145959
1579
asked Apr 5 at 19:17
user145959user145959
1579
asked Apr 5 at 19:17
user145959user145959
1579
asked Apr 5 at 19:17
user145959user145959
1579
1579
add a comment |
add a comment |
1 Answer
1
active
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votes
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You can access it by assigning a variable when calling fit
hist = model.fit(X, y)
Where hist is a dictionary containing history of various variables during training. To get your training loss you would do hist['loss']
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
$endgroup$
$begingroup$
Do you know how can I access to the last loss value? usinghist['loss']gives me an array with the same length with iteration number.
$endgroup$
– user145959
Apr 5 at 19:54
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
add a comment |
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1 Answer
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1 Answer
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oldest
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$begingroup$
You can access it by assigning a variable when calling fit
hist = model.fit(X, y)
Where hist is a dictionary containing history of various variables during training. To get your training loss you would do hist['loss']
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
$endgroup$
$begingroup$
Do you know how can I access to the last loss value? usinghist['loss']gives me an array with the same length with iteration number.
$endgroup$
– user145959
Apr 5 at 19:54
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
add a comment |
$begingroup$
You can access it by assigning a variable when calling fit
hist = model.fit(X, y)
Where hist is a dictionary containing history of various variables during training. To get your training loss you would do hist['loss']
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
$endgroup$
$begingroup$
Do you know how can I access to the last loss value? usinghist['loss']gives me an array with the same length with iteration number.
$endgroup$
– user145959
Apr 5 at 19:54
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
add a comment |
$begingroup$
You can access it by assigning a variable when calling fit
hist = model.fit(X, y)
Where hist is a dictionary containing history of various variables during training. To get your training loss you would do hist['loss']
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
$endgroup$
You can access it by assigning a variable when calling fit
hist = model.fit(X, y)
Where hist is a dictionary containing history of various variables during training. To get your training loss you would do hist['loss']
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
edited Apr 5 at 19:27
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
answered Apr 5 at 19:21
Simon LarssonSimon Larsson
1,140216
1,140216
$begingroup$
Do you know how can I access to the last loss value? usinghist['loss']gives me an array with the same length with iteration number.
$endgroup$
– user145959
Apr 5 at 19:54
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
add a comment |
$begingroup$
Do you know how can I access to the last loss value? usinghist['loss']gives me an array with the same length with iteration number.
$endgroup$
– user145959
Apr 5 at 19:54
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
$begingroup$
Do you know how can I access to the last loss value? using
hist['loss'] gives me an array with the same length with iteration number.$endgroup$
– user145959
Apr 5 at 19:54
$begingroup$
Do you know how can I access to the last loss value? using
hist['loss'] gives me an array with the same length with iteration number.$endgroup$
– user145959
Apr 5 at 19:54
1
1
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
$begingroup$
It is a numpy array, accessing the last index is done by: last_loss = hist['loss'][-1]. -1 stands for the last index in the array, -2 would be the second to last.. and so on.
$endgroup$
– Simon Larsson
Apr 5 at 19:58
add a comment |
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