Buchumschlag

Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensembl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Jo, Taeho (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing : Imprint: Springer, 2023.
Ausgabe:1st ed. 2023.
Schlagworte:
Telecommunication.
Machine learning.
Computational intelligence.
Pattern recognition systems.
Neural networks (Computer science) .
Communications Engineering, Networks.
Machine Learning.
Computational Intelligence.
Automated Pattern Recognition.
Mathematical Models of Cognitive Processes and Neural Networks.
Online-Zugang:https://doi.org/10.1007/978-3-031-32879-4
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Inhaltsangabe:
  • Introduction
  • Part I. Foundation
  • Supervised Learning
  • Unsupervised Learning
  • Ensemble Learning
  • Part II. Deep Machine Learning
  • Deep K Nearest Neighbor
  • Deep Probabilistic Learning
  • Deep Decision Tree
  • Deep SVM
  • Part III. Deep Neural Networks
  • Multiple Layer Perceptron
  • Recurrent Networks
  • Restricted Boltzmann Machine
  • Convolutionary Neural Networks
  • Part IV. Textual Deep Learning
  • Index Expansion
  • Text Summarization
  • Textual Deep Operations
  • Convolutionary Text Classifier
  • Conclusion.

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