How data are being feed into LSTM cell
$begingroup$
Hi everyone I want to learn about training many-to-one Long Short Term Memory (LSTM) for classification. My datasets configurations are consists of 100 rows, 44 frames, 13 features. I want to feed that data into say 32 LSTM cell followed by dense with softmax function (4 class). I am confused about how each rows being feed into 32 LSTM cell .
Which statement below is the correct one?
- If the time step is 44, does the first frame go through all 32 LSTM cell, followed by the second frame go through all 32 LSTM cell, until the 44th frame?
- The first frame will be feed into the first LSTM cell, the second frame will be feed into the second LSTM cell, until the 32th frame feed into the 32th LSTM cell. If this is the correct statement, how about 12 frames left? Or the number of LSTM cell must be larger than the number of frames ?
Please explain which statement is correct and why. Thank you.
deep-learning lstm
New contributor
$endgroup$
add a comment |
$begingroup$
Hi everyone I want to learn about training many-to-one Long Short Term Memory (LSTM) for classification. My datasets configurations are consists of 100 rows, 44 frames, 13 features. I want to feed that data into say 32 LSTM cell followed by dense with softmax function (4 class). I am confused about how each rows being feed into 32 LSTM cell .
Which statement below is the correct one?
- If the time step is 44, does the first frame go through all 32 LSTM cell, followed by the second frame go through all 32 LSTM cell, until the 44th frame?
- The first frame will be feed into the first LSTM cell, the second frame will be feed into the second LSTM cell, until the 32th frame feed into the 32th LSTM cell. If this is the correct statement, how about 12 frames left? Or the number of LSTM cell must be larger than the number of frames ?
Please explain which statement is correct and why. Thank you.
deep-learning lstm
New contributor
$endgroup$
add a comment |
$begingroup$
Hi everyone I want to learn about training many-to-one Long Short Term Memory (LSTM) for classification. My datasets configurations are consists of 100 rows, 44 frames, 13 features. I want to feed that data into say 32 LSTM cell followed by dense with softmax function (4 class). I am confused about how each rows being feed into 32 LSTM cell .
Which statement below is the correct one?
- If the time step is 44, does the first frame go through all 32 LSTM cell, followed by the second frame go through all 32 LSTM cell, until the 44th frame?
- The first frame will be feed into the first LSTM cell, the second frame will be feed into the second LSTM cell, until the 32th frame feed into the 32th LSTM cell. If this is the correct statement, how about 12 frames left? Or the number of LSTM cell must be larger than the number of frames ?
Please explain which statement is correct and why. Thank you.
deep-learning lstm
New contributor
$endgroup$
Hi everyone I want to learn about training many-to-one Long Short Term Memory (LSTM) for classification. My datasets configurations are consists of 100 rows, 44 frames, 13 features. I want to feed that data into say 32 LSTM cell followed by dense with softmax function (4 class). I am confused about how each rows being feed into 32 LSTM cell .
Which statement below is the correct one?
- If the time step is 44, does the first frame go through all 32 LSTM cell, followed by the second frame go through all 32 LSTM cell, until the 44th frame?
- The first frame will be feed into the first LSTM cell, the second frame will be feed into the second LSTM cell, until the 32th frame feed into the 32th LSTM cell. If this is the correct statement, how about 12 frames left? Or the number of LSTM cell must be larger than the number of frames ?
Please explain which statement is correct and why. Thank you.
deep-learning lstm
deep-learning lstm
New contributor
New contributor
New contributor
asked 8 mins ago
Mei LieMei Lie
1
1
New contributor
New contributor
add a comment |
add a comment |
0
active
oldest
votes
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
});
}
});
Mei Lie is a new contributor. Be nice, and check out our Code of Conduct.
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%2f44597%2fhow-data-are-being-feed-into-lstm-cell%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Mei Lie is a new contributor. Be nice, and check out our Code of Conduct.
Mei Lie is a new contributor. Be nice, and check out our Code of Conduct.
Mei Lie is a new contributor. Be nice, and check out our Code of Conduct.
Mei Lie is a new contributor. Be nice, and check out our Code of Conduct.
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%2f44597%2fhow-data-are-being-feed-into-lstm-cell%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