CNN - Revision history

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	~~'''Convolutional Neural Networks''' (CNN) are a class of [[deep learning]] models, most commonly applied to analyzing visual imagery. They are also known as '''ConvNets'''.~~		{{short description\|American news-based pay television channel}}
			{{Use mdy dates\|date=October 2023}}

	~~== Introduction ==~~		[[File:Cnncenter.jpg\|thumb\|CNN Center in Atlanta, Georgia]]
	[[~~Convolutional Neural Networks]] (~~CNN~~) are a type of [[artificial neural network]] designed to mimic the connectivity pattern of neurons in the human brain. They are particularly effective for analyzing visual data and are widely used~~ in ~~[[image recognition]] and [[computer vision~~]] ~~tasks.~~

	~~== Structure ==~~		'''CNN''' (Cable News Network) is a multinational news-based pay television channel headquartered in [[Atlanta]], [[Georgia (U.S. state)\|Georgia]]. It was founded in 1980 by [[Ted Turner]] and [[Reese Schonfeld]] as a 24-hour cable news channel. CNN was the first television channel to provide 24-hour news coverage and was the first all-news television channel in the [[United States]].
	~~A typical~~ CNN ~~consists of one or more~~ [[~~convolutional layers~~]], ~~followed~~ by [[~~pooling layers~~]]~~, fully connected layers,~~ and ~~finally a~~ [[~~softmax~~]] ~~function for classification~~. ~~Each layer in a~~ CNN ~~transforms~~ the ~~input data~~ to ~~bring out increasingly complex features~~.

	== ~~Convolutional Layer~~ ==		==History==
	~~The convolutional layer is the core building block of~~ a ~~CNN~~. The ~~layer~~'s ~~parameters consist of a set of learnable~~ [[~~filters~~]] ~~(or kernels), which have a small receptive field, but extend through the full depth of the input volume. During the forward pass, each filter is convolved across the width~~ and ~~height of the input volume, computing the dot product between the entries of the filter and the input and producing a 2-dimensional activation map of that filter~~.		CNN was launched on June 1, 1980, by American media proprietor [[Ted Turner]] and Reese Schonfeld as a 24-hour cable news channel. The network's first broadcast was anchored by [[David Walker (news anchor)\|David Walker]] and [[Lois Hart]].

	== ~~Pooling Layer~~ ==		===1980s===
	~~The pooling layer (also known as a downsampling layer) is typically applied after the convolutional layer. The function~~ of the ~~pooling layer is to progressively reduce~~ the ~~spatial size of the representation~~, ~~thereby reducing the amount of parameters and computation in~~ the ~~network~~.		In its early years, CNN gained prominence with its coverage of the [[Space Shuttle Challenger disaster]] in 1986 and the [[Gulf War]] in 1991, where it was the only news outlet with live coverage from inside [[Iraq]].

	== ~~Fully Connected Layer~~ ==		===1990s===
	~~Fully connected layers connect every neuron in one layer~~ to ~~every neuron in another layer~~. ~~It is in principle the same as the traditional multi-layer perceptron neural~~ network ~~(MLP)~~.		During the 1990s, CNN expanded its reach globally with the launch of [[CNN International]], providing news coverage to audiences around the world. The network also launched several new programs and segments, including [[Larry King Live]], which became one of its most popular shows.

	== ~~Applications~~ ==		===2000s===
	~~CNNs have been successfully applied~~ to ~~a range~~ of ~~applications, including~~ [[~~image recognition~~]], ~~[[video analysis]], and [[natural language processing]]~~. ~~In the field of medicine, CNNs have shown great promise in tasks~~ such as [[~~medical imaging~~]] ~~analysis~~, [[~~disease prediction~~]], and [[~~drug discovery~~]].		In the 2000s, CNN continued to expand its digital presence with the launch of [[CNN.com]], which became a leading online news source. The network also covered major events such as the [[September 11 attacks]], the [[Iraq War]], and the [[2008 United States presidential election]].

	== ~~See Also~~ ==		===2010s===
	* [[Artificial Neural Networks]]		The 2010s saw CNN further expand its digital and social media presence, adapting to the changing media landscape. The network also faced increased competition from other news outlets and digital platforms.
	* [[Deep Learning]]
	* [[Image Recognition]]
	* [[Computer Vision]]
	* [[Medical Imaging]]

	~~[[Category:Artificial Intelligence]]~~		==Programming==
	[[~~Category:Deep Learning~~]]		CNN offers a variety of programming, including news segments, political analysis, and special reports. Some of its most well-known programs include [[Anderson Cooper 360°]], [[The Situation Room with Wolf Blitzer]], and [[CNN Tonight]].
	[[~~Category:Computer Vision~~]]
	[[~~Category:Medical Imaging~~]]

	~~{{AI-stub}}~~		[[File:CNN_Election_Express.jpg\|thumb\|CNN Election Express]]
	~~{{medicine-stub}}~~
	~~<gallery>~~		==Global Reach==
	File:CNN_Election_Express.jpg\|CNN Election Express		CNN has a significant global presence, with bureaus and correspondents in major cities around the world. [[File:CNN_bureau_location_map.svg\|thumb\|CNN bureau location map]]
	~~File:CNN_NewSource.jpg\|CNN NewSource~~
	~~File:Debate_televisivo_Canal_13_CNN.jpg\|Debate televisivo Canal 13~~ CNN		===CNN International===
	~~File:CNN_Post_Production~~.~~jpg\|CNN Post Production~~		[[CNN International]] is the network's international news channel, providing global news coverage to audiences outside the United States. It is available in over 200 countries and territories.
	File:CNN_bureau_location_map.svg\|CNN bureau location map
	~~File:Cnncenter.jpg\|~~CNN ~~Center~~		===CNN en Español===
	~~File:CNN_headquarters_in_New_York_City_IMG_3707~~.~~JPG\|~~CNN ~~headquarters in New York City~~		[[CNN en Español]] is CNN's Spanish-language news channel, catering to Spanish-speaking audiences in the United States and Latin America.
	~~File:Los_Angeles,_California_(September_10~~,~~_2022)_~~-~~_207~~.~~jpg\|Los Angeles, California~~
	~~File:CNN_Center_studios.jpg\|CNN Center studios~~		==Technological Innovations==
	~~</gallery>~~		CNN has been at the forefront of technological innovations in news broadcasting. The network was an early adopter of satellite technology and digital broadcasting.
	~~<gallery>~~
	~~File:CNN_Logo_(2014)~~.~~svg\|CNN~~		[[File:CNN_NewSource.jpg\|thumb\|CNN NewSource]]
	~~File:CNN_Election_Express.jpg\|CNN Election Express~~
	File:CNN_NewSource.jpg\|CNN NewSource		==Headquarters==
	~~File:Debate_televisivo_Canal_13_CNN~~.~~jpg\|Debate televisivo Canal 13 CNN~~		CNN's headquarters are located in the [[CNN Center]] in Atlanta, Georgia. The network also has major offices in [[New York City]], [[Washington, D.C.]], and [[Los Angeles]].
	~~File:CNN_Post_Production~~.~~jpg\|CNN Post Production~~
	~~File:CNN_bureau_location_map~~.~~svg\|CNN bureau location map~~		[[File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|thumb\|CNN headquarters in New York City]]
	~~File:Cnncenter.jpg\|Cnncenter~~
	File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City		==Criticism and Controversies==
	~~File:Los_Angeles~~,~~_California_(September_10~~,~~_2022)_~~-~~_207.jpg\|Los Angeles, California~~		Like many major news organizations, CNN has faced criticism and controversies over the years. These have included accusations of bias, errors in reporting, and challenges in adapting to the rapidly changing media environment.
	~~File~~:~~CNN_Center_studios~~.~~jpg\|CNN Center studios~~
	~~</gallery>~~		==Related Pages==
			* [[CNN International]]
			* [[CNN en Español]]
			* [[Ted Turner]]
			* [[Cable television]]

			[[Category:American television networks]]
			[[Category:24-hour television news channels in the United States]]
			[[Category:Warner Bros. Discovery networks]]
			[[Category:Television channels and stations established in 1980]]

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	File:CNN_bureau_location_map.svg\|CNN bureau location map		File:CNN_bureau_location_map.svg\|CNN bureau location map
	File:Cnncenter.jpg\|CNN Center		File:Cnncenter.jpg\|CNN Center
			File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City
			File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California
			File:CNN_Center_studios.jpg\|CNN Center studios
			</gallery>
			<gallery>
			File:CNN_Logo_(2014).svg\|CNN
			File:CNN_Election_Express.jpg\|CNN Election Express
			File:CNN_NewSource.jpg\|CNN NewSource
			File:Debate_televisivo_Canal_13_CNN.jpg\|Debate televisivo Canal 13 CNN
			File:CNN_Post_Production.jpg\|CNN Post Production
			File:CNN_bureau_location_map.svg\|CNN bureau location map
			File:Cnncenter.jpg\|Cnncenter
	File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City		File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City
	File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California		File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California
	File:CNN_Center_studios.jpg\|CNN Center studios		File:CNN_Center_studios.jpg\|CNN Center studios
	</gallery>		</gallery>

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	{{AI-stub}}		{{AI-stub}}
	{{medicine-stub}}		{{medicine-stub}}
			<gallery>
			File:CNN_Election_Express.jpg\|CNN Election Express
			File:CNN_NewSource.jpg\|CNN NewSource
			File:Debate_televisivo_Canal_13_CNN.jpg\|Debate televisivo Canal 13 CNN
			File:CNN_Post_Production.jpg\|CNN Post Production
			File:CNN_bureau_location_map.svg\|CNN bureau location map
			File:Cnncenter.jpg\|CNN Center
			File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City
			File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California
			File:CNN_Center_studios.jpg\|CNN Center studios
			</gallery>

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New page

'''Convolutional Neural Networks''' (CNN) are a class of [[deep learning]] models, most commonly applied to analyzing visual imagery. They are also known as '''ConvNets'''.

== Introduction ==
[[Convolutional Neural Networks]] (CNN) are a type of [[artificial neural network]] designed to mimic the connectivity pattern of neurons in the human brain. They are particularly effective for analyzing visual data and are widely used in [[image recognition]] and [[computer vision]] tasks.

== Structure ==
A typical CNN consists of one or more [[convolutional layers]], followed by [[pooling layers]], fully connected layers, and finally a [[softmax]] function for classification. Each layer in a CNN transforms the input data to bring out increasingly complex features.

== Convolutional Layer ==
The convolutional layer is the core building block of a CNN. The layer's parameters consist of a set of learnable [[filters]] (or kernels), which have a small receptive field, but extend through the full depth of the input volume. During the forward pass, each filter is convolved across the width and height of the input volume, computing the dot product between the entries of the filter and the input and producing a 2-dimensional activation map of that filter.

== Pooling Layer ==
The pooling layer (also known as a downsampling layer) is typically applied after the convolutional layer. The function of the pooling layer is to progressively reduce the spatial size of the representation, thereby reducing the amount of parameters and computation in the network.

== Fully Connected Layer ==
Fully connected layers connect every neuron in one layer to every neuron in another layer. It is in principle the same as the traditional multi-layer perceptron neural network (MLP).

== Applications ==
CNNs have been successfully applied to a range of applications, including [[image recognition]], [[video analysis]], and [[natural language processing]]. In the field of medicine, CNNs have shown great promise in tasks such as [[medical imaging]] analysis, [[disease prediction]], and [[drug discovery]].

== See Also ==
* [[Artificial Neural Networks]]
* [[Deep Learning]]
* [[Image Recognition]]
* [[Computer Vision]]
* [[Medical Imaging]]

[[Category:Artificial Intelligence]]
[[Category:Deep Learning]]
[[Category:Computer Vision]]
[[Category:Medical Imaging]]

{{AI-stub}}
{{medicine-stub}}

← Older revision		Revision as of 12:02, 18 February 2025
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	File:CNN_bureau_location_map.svg\|CNN bureau location map		File:CNN_bureau_location_map.svg\|CNN bureau location map
	File:Cnncenter.jpg\|CNN Center		File:Cnncenter.jpg\|CNN Center
			File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City
			File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California
			File:CNN_Center_studios.jpg\|CNN Center studios
			</gallery>
			<gallery>
			File:CNN_Logo_(2014).svg\|CNN
			File:CNN_Election_Express.jpg\|CNN Election Express
			File:CNN_NewSource.jpg\|CNN NewSource
			File:Debate_televisivo_Canal_13_CNN.jpg\|Debate televisivo Canal 13 CNN
			File:CNN_Post_Production.jpg\|CNN Post Production
			File:CNN_bureau_location_map.svg\|CNN bureau location map
			File:Cnncenter.jpg\|Cnncenter
	File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City		File:CNN_headquarters_in_New_York_City_IMG_3707.JPG\|CNN headquarters in New York City
	File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California		File:Los_Angeles,_California_(September_10,_2022)_-_207.jpg\|Los Angeles, California
	File:CNN_Center_studios.jpg\|CNN Center studios		File:CNN_Center_studios.jpg\|CNN Center studios
	</gallery>		</gallery>