Neural Networks and Deep Learning A Textbook

Neural Networks and Deep Learning A Textbook / by Charu C. Aggarwal.

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on under...

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Bibliographic Details
Main Author: Aggarwal, Charu C. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Computers.
Microprocessors.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 An Introduction to Neural Networks
  • 2 Machine Learning with Shallow Neural Networks
  • 3 Training Deep Neural Networks
  • 4 Teaching Deep Learners to Generalize
  • 5 Radical Basis Function Networks
  • 6 Restricted Boltzmann Machines
  • 7 Recurrent Neural Networks
  • 8 Convolutional Neural Networks
  • 9 Deep Reinforcement Learning
  • 10 Advanced Topics in Deep Learning.

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