DEEP LEARNING USING MATLAB. NEURAL NETWORK APPLICATIONS

by Cesar Perez Lopez

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Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data.

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.

Various deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks and recurrent neural 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.
  • ISBN13 9781387757022
  • Publish Date 28 December 2018
  • Publish Status Out of Print
  • Out of Print 25 June 2021
  • Publish Country US
  • Imprint Lulu.com
  • Format eBook
  • Language English