I have seen some impressive results of deep learning neural networks on image, text and audio analysis. This architecture have very appealing characteristics, like the capability to discover high level features (feature extraction), they can learn either from label and unlabeled data and many more. However, I didn't find many references to applications of this networks to other machine learning fields. Any suggestions references / code? I am particularly interested in credit risk and time series prediction.
Dear Armando,
An artificial neural network with two or three hidden layers is one instantiation of a deep learning architecture. So you can find lots of examples in different fields of engineering. I think the best way for finding your answer is a simple search with keywords like ANN + time series or ...
i.e.
# www.cs.cmu.edu/afs/cs/academic/class/15782-f06/slides/timeseries.pdf
# www.diva-portal.org/smash/get/diva2:353048/FULLTEXT01.pdf
# goanna.cs.rmit.edu.au/~xiaodong/publications/juan-ijcnn10.PDF
regards
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