So far there are many interesting applications for deep learning in computer vision or natural language processing.How is it in other more traditional fields?For example, I have traditional socio-demographic variables plus maybe a lot of lab measurements and want to predict a certain disease. Would this be a deep learning application if I have lots of observations?How would I construct a network here, I think all the fancy layers (convolutional etc.) are not really necessary?! Just make it deep?On my specific data set, I tried some common machine learning algorithms like random forests, gbm etc with mixed results regarding accuracy.I have limited deep learning experience with image recognition.
deep learning for non-image non-NLP tasks?
deep learning