Talk:Convolutional neural network

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A fact from this article appeared on Wikipedia's Main Page in the "Did you know?" column on December 9, 2013.

The text of the entry was: Did you know ... that convolutional neural networks have achieved performance double that of humans on some image recognition problems?

Feature Maps

Need to introduce what feature maps are for nontechnical readers. — Preceding unsigned comment added by Shsh16 (talk • contribs) 18:24, 15 February 2017 (UTC)[reply]

Non-linear Pooling

It says in the article: "Another important concept of CNNs is pooling, which is a form of non-linear down-sampling."

I don't think this is correct. There are pooling techniques, like average pooling which is mentioned in this same section, which are forms of linear down-sampling. I would remove the "non-linear." 194.117.26.63 (talk) 15:06, 13 May 2016 (UTC)[reply]

Plagiarism in "Layer patterns"

The text seems is copied from https://cs231n.github.io/convolutional-networks/#layerpat without any attribution — Preceding unsigned comment added by Jkoab (talk • contribs) 01:41, 8 June 2016 (UTC)[reply]

Indeed. Deleted copyvio text, see below. Maproom (talk) 09:55, 8 June 2016 (UTC)[reply]

Copyright problem removed

Prior content in this article duplicated one or more previously published sources. The material was copied from: https://cs231n.github.io/convolutional-networks/#layerpat. Copied or closely paraphrased material has been rewritten or removed and must not be restored, unless it is duly released under a compatible license. (For more information, please see "using copyrighted works from others" if you are not the copyright holder of this material, or "donating copyrighted materials" if you are.)

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Suggestion: Move the section "Regularization methods" to a new page

The methods listed here are applicable to deep learning in general. This topic should be moved into a new page. OhadRubin (talk) 06:38, 27 November 2018 (UTC)[reply]

Parameter Sharing Clarifications

In the "Parameter sharing" section, "relax the parameter sharing scheme" is written, but what this actually means is unclear. — Preceding unsigned comment added by Ephsc (talk • contribs) 16:22, 27 September 2019 (UTC)[reply]

What is convolutional about a convolutional neural network?

The article fails to explain what the connection between CNNs and convolutions are in any meaningful way. In particular, convolutions don't act on vectors; they act on functions. Comparing with the equation on the page for convolutions, there's obviously something analogous. --Stellaathena (talk) 16:51, 14 December 2020 (UTC)[reply]

its actually the dsp version of a cross correlation, not a convolution. its a misnomer to call it convolution.-AS

Inaccurate information about Convolutional layers

Convolutional layers do not do convolutions. They do what is called "Cross correlation" in DSP, which is different than the statistics definition of cross correlation. https://en.wikipedia.org/wiki/Cross-correlation

This article says multiple times that the convolution operation is being done, and it links to the convolution article https://en.wikipedia.org/wiki/Convolution

This is misleading because it does not do this operation linked in the article. It does the operation linked in the cross correlation articles. -AS

Inacurate information: Convolutional models are not regularized versions of fully connected neural networks

In the second paragraph of the introduction, it is mentioned that "CNNs are regularized versions of multilayer perceptions." I think the idea is inaccurate. The entire paragraph describe convolutional models as regularized versions of fully connected models, and I don't think that is a good description. I think the idea of inductive bias would be better then that of regularization to explain convolutions.

I would also suggest merging the section "Definition" into the introduction. The definition section is only two sentences and it feels it would be better placed at the introduction.