Word of the Day: backpropagation algorithm

Word of the Day Daily updates on the latest technology terms |June 27, 2017

backpropagation algorithm Backpropagation (backward propagation) is an important mathematical tool for improving the accuracy of predictions in data mining and machine learning. Essentially, backpropagation is an algorithm used to calculate derivatives quickly. Artificial neural networks use backpropagation as a learning algorithm to compute a gradient descent with respect to weights. Desired outputs are compared to achieved system outputs, and then the systems are tuned by adjusting connection weights to narrow the difference between the two as much as possible. The algorithm gets its name because the weights are updated backward, from output towards input. The difficulty of understanding exactly how changing weights and biases affects the overall behavior of an artificial neural network was one factor that held back wider application of neural network applications, arguably until the early 2000s when computers provided the necessary insight. Today, backpropagation algorithms have practical applications in many areas of artificial intelligence, including optical character recognition (OCR), natural language processing (NLP) and image processing. Because backpropagation requires a known, desired output for each input value in order to calculate the loss function gradient, it is usually classified as a type of supervised machine learning. Along with classifiers such as Na?ve Bayesian filters and decision trees, the backpropagation algorithm has emerged as an important part of machine learning applications that involve predictive analytics. Quote of the Day "Today, neural networks mainly learn to recognize patterns found in training data by using an incremental technique called backpropagation." - Mike Matchett   Trending Terms data mining machine learning AI optical character recognition neural network predictive analytics   Learning Center Delving into neural networks and deep learning IT will soon use neural networks and deep learning to better manage the data center. Making Watson-speak elementary: A glossary for users of AI in HR To stay abreast of AI in HR, follow this short glossary to help understand commonly used terms in artificial intelligence. Despite progress, the future of AI will require human assistance The future of AI is promising, but the road to more human-like intelligence is a long one. System for diners orders up Azure big data platform in the cloud Hospitality technology and services provider Ziosk looks to Microsoft's Azure big data platform and machine learning tools to bring advanced analytics to restaurant tables. A new approach to condensing data leads to a 99% compression rate Given the enormous thirst for data, coupled with the finite existence of copper and fiber optic cables that link clients and servers together, the need for powerful compression algorithms is self-evident. Has XLABS solved the problem with a 99% rate? They just may have! Writing for Business Although some parts of the consumer industry are adept at using artificial intelligence apps practically and profitably, most businesses are slow to ________ and implement AI. A. except B. accept Answer       Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2016 TechTarget. All rights reserved.