Doubt regarding the number of weights in 2 layer neural network
$begingroup$
Considering a hypothetical scenario , where we have 10 input layers, and 5 output layers.
How many weights are there in the neural network?
If this is implemented in pytorch, the answer will be 50. But shouldn't it be 15 since 10 weights from input layer, and 5 weights from output layer? Please resolve my doubt.
Please forgive my english, not a native speaker.
machine-learning neural-network pytorch
$endgroup$
add a comment |
$begingroup$
Considering a hypothetical scenario , where we have 10 input layers, and 5 output layers.
How many weights are there in the neural network?
If this is implemented in pytorch, the answer will be 50. But shouldn't it be 15 since 10 weights from input layer, and 5 weights from output layer? Please resolve my doubt.
Please forgive my english, not a native speaker.
machine-learning neural-network pytorch
$endgroup$
add a comment |
$begingroup$
Considering a hypothetical scenario , where we have 10 input layers, and 5 output layers.
How many weights are there in the neural network?
If this is implemented in pytorch, the answer will be 50. But shouldn't it be 15 since 10 weights from input layer, and 5 weights from output layer? Please resolve my doubt.
Please forgive my english, not a native speaker.
machine-learning neural-network pytorch
$endgroup$
Considering a hypothetical scenario , where we have 10 input layers, and 5 output layers.
How many weights are there in the neural network?
If this is implemented in pytorch, the answer will be 50. But shouldn't it be 15 since 10 weights from input layer, and 5 weights from output layer? Please resolve my doubt.
Please forgive my english, not a native speaker.
machine-learning neural-network pytorch
machine-learning neural-network pytorch
asked 47 secs ago
Neel MishraNeel Mishra
1
1
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
});
}
});
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%2f45611%2fdoubt-regarding-the-number-of-weights-in-2-layer-neural-network%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
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%2f45611%2fdoubt-regarding-the-number-of-weights-in-2-layer-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