IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-89067-3_24.html

The Deep Learning Toolbox

In: Dynamical Systems with Applications Using MATLAB®

Author

Listed:
  • Stephen Lynch

    (Loughborough University, Department of Computer Science)

Abstract

This chapter provides an introduction to Artificial Intelligence (AI), with simple examples using Artificial Neural Networks (ANNs). The Deep Learning Toolbox provides functions, apps, and Simulink blocks for designing, implementing, and simulating deep neural networks. Recurrent Neural Networks (RNNs) using Long Short-Term Memory (LSTM) networks are used to predict chaotic and financial time series data with great accuracy. Convolutional Neural Networks (CNNs) learn features using filters (or kernel) optimization. The CNNs are used to identify handwritten digits and there are plenty of applications in medical imaging in the exercises. The chapter ends with further reading in topics like cybersecurity, ethics in AI, the Internet of Things (IoT), Natural Language Processing (NLP), and Reinforcement Learning (RL).

Suggested Citation

  • Stephen Lynch, 2025. "The Deep Learning Toolbox," Springer Books, in: Dynamical Systems with Applications Using MATLAB®, edition 0, chapter 0, pages 501-521, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-89067-3_24
    DOI: 10.1007/978-3-031-89067-3_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-89067-3_24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.