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    Cover of Neural networks and learning machines

    Neural networks and learning machines

    Simon S. Haykin · 2008

    AI & Machine Learning
    Open LibraryAmazon
    Stats for nerds
    2recommend
    2mentions
    2people
    2009–2016years
    100% recommend

    Mentions per year

    20092010201120122013201420152016

    What Hacker News says

    1. curuinorMay 2016
      You're not asking about anything about computer vision, if you're asking just about Caffe and Tensorflow. You're not even asking about the whole of machine learning: you're just asking about neural networks.

      If you haven't done significant mathematical stuff by yourself (like, do all the problems in a math book by yourself without anyone else telling you what to do), go get a degree. MS in CS is probably best, those are surprisingly easy to get into.

      Otherwise, Haykin's Neural Networks and Learning Machines is best in my opinion (http://www.amazon.com/Neural-Networks-Learning-Machines-3rd/...). Bengio's Deep Learning book is the most current by far (http://www.deeplearningbook.org/). Otherwise, you read papers.

      Note that all of these will deal nearly exclusively with the mathematics. Otherwise, you are following tutorials and wouldn't need any actual knowledge to do things. Some of the mathematics is a year old: some of the mathematics is 50 years old, some of it has been around since Gauss.

      thread
    2. signa11Jan 2009
      my recommendations (for neural networks) would be as follows:

         - parallel distributed processing (PDP group vol 1 & 2)
         - simon haykin (Neural Networks and Learning Machines)
         - christopher bishop (Neural Networks for Pattern Recognition)
      thread

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