I am currently trying to learn about deep learning. I asked myself where deep learning outperforms SVM and Random Forest on regression?
Do you have any dataset for regression where deep learning outperforms SVM and Random Forest?
My main objective for asking this question, is to see on which kind of datasets deep learning outperforms SVM and Random Forests. Since I do not know what kind of datasets these are, I do not want to be too restrictive when asking about these datasets.
Update: From the answer given by tom, it gets clear to me, what kind of dataset I am looking for. So to be more specific: If you know a dataset with spatial/temporal structure at different levels of granularity which is known that for example convolutional deep networks outperform SVM and Random Forest on this dataset, then please share this dataset or a link to it.
Don't know why the question is still marked as on hold for being to broad, as I updated the question.
Thank you for your help.