Understanding OutPuts of Neural Network
I have a problem in outputs of neural network.
I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.
how can i interpret of it?
array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04, 1.0406967e-04,
3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
-8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
-2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)
python neural-network recurrent-neural-network gated-recurrent-unit
add a comment |
I have a problem in outputs of neural network.
I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.
how can i interpret of it?
array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04, 1.0406967e-04,
3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
-8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
-2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)
python neural-network recurrent-neural-network gated-recurrent-unit
add a comment |
I have a problem in outputs of neural network.
I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.
how can i interpret of it?
array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04, 1.0406967e-04,
3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
-8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
-2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)
python neural-network recurrent-neural-network gated-recurrent-unit
I have a problem in outputs of neural network.
I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.
how can i interpret of it?
array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04, 1.0406967e-04,
3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
-8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
-2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)
python neural-network recurrent-neural-network gated-recurrent-unit
python neural-network recurrent-neural-network gated-recurrent-unit
edited Nov 8 '18 at 11:58
SHR
5,76072341
5,76072341
asked Nov 7 '18 at 16:34
Mahdi.mMahdi.m
1
1
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
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: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
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%2fstackoverflow.com%2fquestions%2f53193835%2funderstanding-outputs-of-neural-network%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
The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2
add a comment |
The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2
add a comment |
The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2
The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2
answered Nov 13 '18 at 9:51
Shubham PanchalShubham Panchal
469210
469210
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- 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.
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%2fstackoverflow.com%2fquestions%2f53193835%2funderstanding-outputs-of-neural-network%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