images links abstract
Wiki Code Copy Tips Home

Artificial neural network

Artificial neural networks (ANN) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules. For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have been manually labeled as "cat" or "no cat" and using the results to identify cats in other images. They do this without any prior knowledge about cats, for example, that they have fur, tails, whiskers and cat-like faces. Instead, they automatically generate identifying characteristics from the learning material that they process.

An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it.

In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called 'edges'. Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer), to the last layer (the output layer), possibly after traversing the layers multiple times.

The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis.



Source: Artificial neural network
Forrest Gump
Couto Misto
Brown recluse spider
Efraim Diveroli
Death Note (2017 film)
Heath Ledger
Carl Sagan
Michael Keaton
Ontario
List of hobbies
Florida
Microsoft Windows
Sing (2016 film)
San Francisco
The Flash (2014 TV series)
Poisson distribution
The Duffer Brothers
Kajol
Bell's palsy
HIV/AIDS
Chris Jericho
Chester Bennington
Aluminium
The Comedian (2016 film)
Bluetooth
IBM
Vanessa Redgrave
American Horror Story: Roanoke
Fridtjof Nansen
Crystal Hefner
Angola
Melissa Benoist
Alien (creature in Alien franchise)
Isaac Newton
Paul Walker
Viggo Mortensen
The Expanse (TV series)
Ketamine
Steve Perry
Star Wars: Episode I ??? The Phantom Menace
Jacqueline Fernandez
Robert Pattinson
Assassination of John F. Kennedy
74th Golden Globe Awards
Dustin Hoffman
Castlemaine XXXX
Ann-Margret
Willie Nelson
Oliver Hudson
Thandie Newton
England national football team
Matcha
Berlin
List of most expensive association football transfers
Ballon d'Or
Nick Saban
Little Mix
XXX (film series)
Tertiary education
Descendants (2015 film)
Mädchen Amick
Mark Strong
Richard Harris
Kate Beckinsale
Taoism
Christina Grimmie
Montreal
Selena Gomez
Suspicious Partner
The Big Bang Theory
List of Justices of the Supreme Court of the United States
Alanis Morissette
59th Annual Grammy Awards
Kim Jong-nam
Cat Stevens
Humphrey Bogart
Southeast Asia
Channel S
Timeless (TV series)
Jay Cutler (American football)
Website
Stephen King
List of Mr. Robot episodes
Joe Keery
Jimi Hendrix
The Amityville Horror
Slovakia
Billie Jean King
List of Fear the Walking Dead episodes
George VI
Theodore Roosevelt
Sacha Baron Cohen
Laurie Metcalf
Deadpool 2
Nina Simone
Jim Crow laws
Multiple sclerosis
Fifty Shades of Grey
Steppenwolf (comics)
Indian Railways
Hamlet
Frances Bean Cobain
David Cassidy
List of Games with Gold games
Gregory Porter
Speed of light
The Americans (2013 TV series)
Janelle Monáe
Homeland (season 6)
Money in the Bank (2017)
Formula One
Jennifer Hudson
Khalid (singer)
Hanukkah
Confederate States of America
The Dark Knight Rises
List of Hallmark Channel Original Movies
Anne Boleyn
Autism
List of Homeland episodes
Kal Penn
G
Stevie Wonder
Chesley Sullenberger
Zoe Kazan
Victoria (TV series)
Lori Greiner
Woody Allen
Dancing with the Stars (U.S. season 25)
Indian National Congress
Arsenal F.C.
Freida Pinto
Whoopi Goldberg
Martin Freeman
2018 in film
Canary Islands
2017 CONCACAF Gold Cup
Govinda (actor)
Ram Nath Kovind
Huddersfield Town A.F.C.
Homeland (TV series)
Al Pacino
Google Chrome
Gucci Mane
David Harbour
The Blacklist: Redemption
Kama Sutra
List of Family Guy episodes
Cinco de Mayo
ASAP Rocky
Eliza Dushku
Grace Kelly
List of Knowing Bros episodes
International Space Station
Katrina Kaif
All the Money in the World
19 Kids and Counting
Doctor Strange
Chronic obstructive pulmonary disease
Amanda Bynes
Chris Evans (actor)
Uranus
Satan
MS-13
Cape Verde
Philippines
Chelsea Peretti
Happy Death Day
Ae Dil Hai Mushkil
Martin Sheen
UFC 209
Sid Vicious
Gold (2016 film)
Colin Hanks
NCIS: Los Angeles
Tupac Shakur
Joe Scarborough
Charlie Chaplin
Marcus Aurelius
Old Man Logan
James Woods
United States Navy SEALs
Jurassic Park (film)
Lesbian
Nikola Tesla
Education
LGBT
Frontier (2016 TV series)
The Great British Bake Off
Paul Pogba
Wonders of the World
Micropenis
Huntington's disease
Home Alone
Big Five personality traits
Kevin O'Leary
Chumlee
Rheumatoid arthritis
Inferno (Dante)
Vasyl Lomachenko
TIPS: To create new content for your website or blog...
  1. Enter the title of a Wikipedia article in the box above.
  2. Select your options using the checkboxes, or use default settings.
  3. Click the 'go' button to retrieve the article.
  4. Click the 'Copy Code' button to copy the source code of the article to your clipboard.
  5. Paste the source code into your favorite HTML editor.
  6. Edit the content to suit your needs.
  7. Publish your new content to your website or blog.
  8. IMPORTANT: Before publishing, be sure to make significant changes to avoid creating duplicate content.
buy this site
Custom Website Development