How can I access to loss value in Keras LSTM implementation?2019 Community Moderator ElectionKeras 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
How can I prevent hyper evolved versions of regular creatures from wiping out their cousins?
Is it possible to do 50 km distance without any previous training?
What defenses are there against being summoned by the Gate spell?
Add text to same line using sed
Codimension of non-flat locus
Is it tax fraud for an individual to declare non-taxable revenue as taxable income? (US tax laws)
Paid for article while in US on F-1 visa?
Malformed Address '10.10.21.08/24', must be X.X.X.X/NN or
Accidentally leaked the solution to an assignment, what to do now? (I'm the prof)
Arrow those variables!
Maximum likelihood parameters deviate from posterior distributions
How much RAM could one put in a typical 80386 setup?
dbcc cleantable batch size explanation
What's the output of a record needle playing an out-of-speed record
Can an x86 CPU running in real mode be considered to be basically an 8086 CPU?
Watching something be written to a file live with tail
How to determine what difficulty is right for the game?
How can bays and straits be determined in a procedurally generated map?
Why can't we play rap on piano?
How does one intimidate enemies without having the capacity for violence?
Why doesn't Newton's third law mean a person bounces back to where they started when they hit the ground?
Alternative to sending password over mail?
Approximately how much travel time was saved by the opening of the Suez Canal in 1869?
Why is consensus so controversial in Britain?
How can I access to loss value in Keras LSTM implementation?
2019 Community Moderator ElectionKeras 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 7 hours ago
user145959user145959
1268
$endgroup$
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 7 hours ago
user145959user145959
1268
$endgroup$
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 7 hours ago
user145959user145959
1268
$endgroup$
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 7 hours ago
user145959user145959
1268
asked 7 hours ago
user145959user145959
1268
asked 7 hours ago
user145959user145959
1268
asked 7 hours ago
user145959user145959
1268
asked 7 hours ago
user145959user145959
1268
1268
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
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 7 hours ago
Simon LarssonSimon Larsson
673113
$endgroup$
$begingroup$
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
6 hours ago
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
6 hours ago
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48707%2fhow-can-i-access-to-loss-value-in-keras-lstm-implementation%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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 7 hours ago
Simon LarssonSimon Larsson
673113
$endgroup$
$begingroup$
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
6 hours ago
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
6 hours ago
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 7 hours ago
Simon LarssonSimon Larsson
673113
$endgroup$
$begingroup$
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
6 hours ago
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
6 hours ago
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 7 hours ago
Simon LarssonSimon Larsson
673113
$endgroup$
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 7 hours ago
Simon LarssonSimon Larsson
673113
edited 7 hours ago
answered 7 hours ago
Simon LarssonSimon Larsson
673113
answered 7 hours ago
Simon LarssonSimon Larsson
673113
answered 7 hours ago
Simon LarssonSimon Larsson
673113
673113
$begingroup$
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
6 hours ago
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
6 hours ago
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
6 hours ago
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
6 hours ago
$begingroup$
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
6 hours ago
$begingroup$
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
6 hours ago
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
6 hours ago
$begingroup$
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
6 hours ago
add a comment |
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48707%2fhow-can-i-access-to-loss-value-in-keras-lstm-implementation%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
