Introduction to Deep Learning

Collins Achepsah Leke, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter presents information on deep learning. It describes the building blocks of the first breakthrough in deep neural networks being the deep belief neural network. These are the restricted Boltzmann machine and the contrastive divergence algorithm. Subsequently, the deep belief, convolutional, recurrent and deep autoencoder neural networks are presented, followed by concluding remarks.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
Publication statusPublished - 2019

Publication series

NameStudies in Big Data
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Artificial Intelligence


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