Cover of Neural networks

Neural networks

a comprehensive foundation

by Simon S. Haykin · first published 1994

4mentions
3recommended by
4HN commenters
2009–2023first – last mentioned

75% recommend25% neutral

This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks. Written in a concise and fluid manner, by a foremost engineering textbook author, to make the material more accessible, this book is ideal for p

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Mentions per year

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What Hacker News says

  • wslh · Feb 3, 2018 · Recommends

    There is something in Canada because the best book (I tried to understand) about neural networks back in the 90s was "Neural Networks: A Comprehensive Foundation" by Simon Hayking [1] [1] https://en.wikipedia.org/wiki/Simon_Haykin

    on “Geoffrey Hinton spent 30 years on an idea many other scientists dismissed” ↗
  • mfrieswyk · Jan 9, 2023 · Recommends

    …what everyone's thoughts are on the best books for a strong foundation: Pattern Recognition and Machine Learning - Bishop Deep Learning - Goodfellow, Bengio, Courville Neural Smithing - Reed, Marks Neural Networks - Haykin Artificial Intelligence - Haugeland

    on “Ask HN: What are the foundational texts for learning about AI/ML/NN?” ↗
  • physcab · Jul 7, 2009 · Recommends

    …passion for presenting information to others. As far as what tools are needed? Here's my take. Computer Science (Data Mining, Machine Learning): - Hard science book like PRML from Chris Bishop or Neural Networks from Haykin - Fun implementations from Programming Collective Intelligence by Toby Segaran - See practical implementations by these people: http://www.doloreslabs.com/ Statistics: - Good foundation…

    on “The Rise of the Data Scientist” ↗
  • qubex · May 31, 2020 · Mentions

    I do not exempt those who make such statements just because they have authority. If anything, they should know better. I started off along much the same path (I bought and read Neural Networks: A Comprehensive Foundation (1994) by Simon Haykin) when I was in high school, read it all and thought I knew everything there was to know on the topic, and then started to read about neurobiology and…

    on “Why Artificial Brains Need Sleep” ↗

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