• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of things
    • Metaverse
    • Robotics
    • Security
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of things
  • Robotics
  • Security
  • Startups
  • Strategy
  • Technical

Deep learning

Deep learning (deep structured learning or hierarchical learning) is a set of algorithms in machine learning that attempt to model high-level abstractions in data by using model architectures composed of multiple non-linear transformations. Deep learning is part of a broader family of machine learning methods based on learning representations of data. An observation (e.g., an image) can be represented in many ways such as a vector of intensity values per pixel, or in a more abstract way as a set of edges, regions of particular shape, etc. Some representations make it easier to learn tasks (e.g. face recognition) from examples. One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction. Research in this area attempts to make better representations and create models to learn these representations from large-scale unlabeled data. Some of the representations are inspired by advances in neuroscience and are loosely based on interpretation of information processing and communication patterns in a nervous system, such as neural coding which attempts to define a relationship between the stimulus and the neuronal responses and the relationship among the electrical activity of the neurons in the brain. Various deep learning architectures such as deep neural networks, convolutional deep neural networks, and deep belief networks have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks. Alternatively, deep learning has been characterized as a buzzword, or a rebranding of neural networks.

Tweet
Share
Share
WhatsApp

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Jobs

  • DevOps Engineer | Mc Farland, WI, USA - August 06, 2022
  • Data Scientist | Ramsey, NJ, USA - August 06, 2022
  • Software Engineer – Telecommute | Bexar County, TX, USA - August 06, 2022
  • Sr Data Analyst – Telecommute | Eden Prairie, MN, USA - August 06, 2022
  • Lead Software Engineer, Integration – Telecommute | Grand Central, NY, USA - August 06, 2022
More Jobs

Tags

AI Amazon analytics application Artificial Intelligence Azure benefits BI Big Data business Cloud company Covid-19 Data design development DevOps engineer engineering environment experience future government Group health information Java knowledge machine learning mobile news platform public research security services share skills social software software engineer solutions strategy technical technology

News

  • Trump social media deal can’t close on time, needs extension, buyer says
  • California appeals court rules no arbitration in Cisco caste bias case
  • Former Centerview banker sues firm for records over pay clash
  • India’s Paytm Q1 loss rises on higher expenses
  • Meta Platforms agrees to delay closing Within deal given U.S. challenge
More News

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • Sentiment Analysis: Categories, Methods, and Use Cases
  • Moving to a Tokenized Economy: Challenges and Opportunities
  • What is a Helm Chart In Kubernetes?
  • The Problem of Bias in Artificial Intelligence
  • 6 Crucial Steps For Setting Your Data Team KPIs

Search

Tags

AI Amazon analytics application Artificial Intelligence Azure benefits BI Big Data business Cloud company Covid-19 Data design development DevOps engineer engineering environment experience future government Group health information Java knowledge machine learning mobile news platform public research security services share skills social software software engineer solutions strategy technical technology

Copyright © 2022 Datafloq
Privacy|Terms|Cookies

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!