It's funny that Chris Bishop in 1995 wrote the textbook "Neural Networks for Pattern Recognition" and now is effectively arguing against using neural networks.
I haven't read "Neural Networks for Pattern Recognition", but his "Pattern Recognition and Machine Learning"[1] is the text for ML work including Bayesian approaches.
I don't think one should view this as "arguing against" neural networks - it's more that Bayesian approaches give you something different.
I haven't read "Neural Networks for Pattern Recognition", but his "Pattern Recognition and Machine Learning"[1] is the text for ML work including Bayesian approaches.
I don't think one should view this as "arguing against" neural networks - it's more that Bayesian approaches give you something different.
[1] http://www.springer.com/gp/book/9780387310732