What are the possible values of a filter in a CNNRecurrent neural network multiple types of input KerasWhy is...
Can you tell from a blurry photo if focus was too close or too far?
Why was Lupin comfortable with saying Voldemort's name?
How to make ice magic work from a scientific point of view?
Explanation of a regular pattern only occuring for prime numbers
Am I a Rude Number?
Do authors have to be politically correct in article-writing?
Why is Agricola named as such?
How do I append a character to the end of every line in an excel cell?
Play Zip, Zap, Zop
Building an exterior wall within an exterior wall for insulation
Airplane generations - how does it work?
Why do we have to make "peinlich" start with a capital letter and also end with -s in this sentence?
A Missing Symbol for This Logo
How to find the order of a symmetric group S4?
How does Leonard in "Memento" remember reading and writing?
Does diversity provide anything that meritocracy does not?
How do I prevent a homebrew Grappling Hook feature from trivializing Tomb of Annihilation?
How do you funnel food off a cutting board?
Has any human ever had the choice to leave Earth permanently?
Hilchos Shabbos English Sefer
Separate environment for personal and development use under macOS
Square Root Distance from Integers
Which communication protocol is used in AdLib sound card?
Eww, those bytes are gross
What are the possible values of a filter in a CNN
Recurrent neural network multiple types of input KerasWhy is my CNN model not learning anything? (tensorflow)Using deconvolution in practiceCNN - How does backpropagation with weight-sharing work exactly?Implementing spatio-temporal convolutions in pytorchTraining Accuracy stuck in KerasWhat is the purpose of a 1x1 convolutional layer?What kind of layer can do a channel number reduction?Wrangling data for CNNWhat is the motivation for row-wise convolution and folding in Kalchbrenner et al. (2014)?
$begingroup$
I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.
Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.
And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.
Thank you so much for you time, any help is greatly appreciated.
python cnn
New contributor
$endgroup$
add a comment |
$begingroup$
I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.
Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.
And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.
Thank you so much for you time, any help is greatly appreciated.
python cnn
New contributor
$endgroup$
add a comment |
$begingroup$
I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.
Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.
And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.
Thank you so much for you time, any help is greatly appreciated.
python cnn
New contributor
$endgroup$
I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.
Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.
And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.
Thank you so much for you time, any help is greatly appreciated.
python cnn
python cnn
New contributor
New contributor
New contributor
asked 4 mins ago
teclnolteclnol
1011
1011
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
});
}
});
teclnol 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%2f46299%2fwhat-are-the-possible-values-of-a-filter-in-a-cnn%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
teclnol is a new contributor. Be nice, and check out our Code of Conduct.
teclnol is a new contributor. Be nice, and check out our Code of Conduct.
teclnol is a new contributor. Be nice, and check out our Code of Conduct.
teclnol 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%2f46299%2fwhat-are-the-possible-values-of-a-filter-in-a-cnn%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