TEQResearch – Research Tutorial for Computer Science and Technologies
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TEQResearch – Research Tutorial for Computer Science and Technologies
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TEQResearch – Research Tutorial for Computer Science and Technologies
  • Computer Networks
    • Ad Hoc Networks
    • Network Security
    • Internet of Things (IoT)
    • Sensor Networks
  • Data Science and AI
    • Data Mining
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Big Data Analytics
    • Image Processing
  • Computing Technologies
    • Cloud Computing
    • Evolutionary Computing
    • Mobile Computing
    • Quantum Computing
    • Edge and Fog Computing
  • Software and Systems
    • Database Management Systems
    • Operating Systems
    • Software Engineering
    • Cybersecurity
    • Blockchain
  • Scholar Resources
    • Research Algorithms
    • Research Implementations
    • Research Grants Infos
    • Research Journals Infos

Posts by tag

feature extraction

3 posts
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  • Deep Learning
  • Research Algorithms

Convolutional Neural Network (CNN) Algorithm: A Complete Guide

  • October 17, 2026
  • Arun Prakasam
Learn the Convolutional Neural Network (CNN) algorithm with mathematical formulas, step-by-step training, a worked example, flowchart, pseudocode, advantages, applications, FAQs, and references.
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Autoencoder
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  • Data Science and AI
  • Deep Learning
  • Research Algorithms

Autoencoders (AE) in Deep Learning: Architecture, Types & Real-World Applications

  • May 19, 2025
  • Arun Prakasam
What is Autoencoders (AE) Algorithm?  An Artificial Neural Network type called an Autoencoder (AE) is used for unsupervised learning. Its objective is to learn effective data representations, usually for feature…
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Deep Belief Networks
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  • Data Science and AI
  • Deep Learning
  • Research Algorithms

Deep Belief Networks (DBN): Architecture, Training Process & Applications in Deep Learning

  • May 17, 2025
  • Arun Prakasam
What is Deep Belief Networks (DBN) Algorithm? One kind of deep learning model is called a Deep Belief Network (DBN), which is composed of several layers of unsupervised learning models…
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